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Published 20 hours ago • verified publisher icon priscian
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Download, aggregate, process, and display monthly climatological data.

climeseries

Download, aggregate, process, and display monthly climatological data.

I don't care about the stupid package—where's the latest data?!

Okay! It's here. The "raw" data (as close as possible to the official source) is file climate-series_raw_yyyymmdd.csv; the data given as anomalies from a 1981–2010 baseline is file climate-series_yyyymmdd.csv. It's tabular data, arranged rows × columns for month/year × monthly series.

climeseries includes more than 1000 individual monthly climate time series; the full set of series names is listed below.

(If you're instead looking for the list of paleoclimate studies that use a variety of temperature proxies and methodologies in affirmation of Michael Mann's hockey stick result, you can find that here.)

Preliminaries

The climeseries R package is fairly easy to set up. In an R session:

install.packages("remotes") # If necessary.
Sys.setenv(R_REMOTES_NO_ERRORS_FROM_WARNINGS = "true") # Probably unnecessary now. See:
## https://github.com/r-lib/remotes#environment-variables
remotes::install_github("priscian/climeseries")
library(climeseries)

## Once the package has been installed as described above, all you need to use it is:
library(climeseries)

Using climeseries

climeseries will by default store downloaded data sets in the current working directory (i.e. getwd()) of your R session, and will also load existing data sets from that directory. If you want to change climeseries's default directory, set the following option (with a directory of your choice) before you use climeseries:

options(climeseries_data_dir = "C:/common/data/climate/climeseries")

Now you're ready to go:

## Download a current climatological data set from the Internet.
inst <- get_climate_data(download = TRUE)
## N.B. I don't recommend the full download, which requires managing changing URLs &
##   download permissions; instead, use the latest data sets downloaded with the package,
##   or request an update from me. I'll make the download mechanism more flexible soon....

## Try loading this most recent data set from the default directory.
inst <- get_climate_data(download = FALSE, baseline = TRUE)

## Description of the data set returned by 'get_climate_data()'.
?get_climate_data

Note that get_climate_data() saves the current climatological data set, in the default directory, as two different file types: .RData and .csv; the .csv file is the most portable type and can be imported into other data-management software such as Microsoft Excel for plotting or further processing.

Making plots

climeseries has a pair of functions, plot_climate_data() and plot_models_and_climate_data(), to simplify plotting climate time series. Some examples follow.

########################################
## Plot several global instrumental temperature series.
########################################

airs_series <- "AIRS v7 Global"; baseline <- 1981:2010
new_airs <- interpolate_baseline(airs_series, baseline = baseline)
inst0 <- get_climate_data(download = FALSE, baseline = FALSE)
inst0 <- create_aggregate_variable(inst0, c("20th C. Reanalysis V3 Surface Air Global",
  "NCEP/DOE R2 Surface Air Global"),
  "20th C. Reanalysis V3–NCEP/DOE R2 Surface Air Global", type = "head")
inst0[[airs_series]] <- new_airs[[airs_series]]
series <- c("GISTEMP v4 Global", "NCEI Global", "HadCRUT5 Global",
  "BEST Global (Air Ice Temp.)", "JMA Global", "RSS TLT 4.0 -70.0/82.5",
  "UAH TLT 6.0 Global", "JRA-55 Surface Air Global", "ERA5 2m Global",
  "NCEP/NCAR R1 Surface Air Global", "20th C. Reanalysis V3–NCEP/DOE R2 Surface Air Global",
  "RATPAC-A Surface GLOBE", airs_series)
inst <- inst0 %>%
  dplyr::select(all_of(c(get_climate_series_names(inst0, invert = FALSE), series))) %>%
  recenter_anomalies(baseline = baseline, keep = series, skip = "AIRS v7 Global")
## N.B. Don't rebaseline here!
plot_climate_data(inst, series = series, 1880, yearly = TRUE, lwd = 2, ylim = c(-1.0, 1.0),
  save_png = FALSE)

Some major monthly global average temperature time series.

########################################
## Plot global instrumental temperature series with 95% confidence intervals.
########################################

inst <- get_climate_data(download = FALSE, baseline = TRUE)
series <- c("BEST Global (Air Ice Temp.)", "HadCRUT5 Global")
plot_climate_data(inst, series = series, 1850, yearly = TRUE, lwd = 2, conf_int = TRUE,
  col = c("red", "blue"), alpha = 0.4, ci_alpha = 0.1, save_png = FALSE)

Cowtan & Way hybrid global average temperature series w/ 95% confidence intervals.

########################################
## Plot all CMIP5 scenario realizations, no instrumental temperature series.
########################################

inst <- get_climate_data(download = FALSE, baseline = TRUE)
cmip5 <- get_models_data(ensemble = "cmip5")
plot_models_and_climate_data(inst, cmip5, series = NULL, scenario = NULL, start = 1950,
  end = 2100.99, ma = 12, baseline = 1981:2010, center_fun = "mean", smooth_envelope = TRUE,
  col_m_mean = "red", ylim = c(-1, 5), save_png = FALSE)

CMIP5 scenario realizations.

########################################
## CMIP5 RCP 8.5 TAS + TOS scenario realizations compared to the primary land+SST series.
## Cf. Fig. 4(a) of Cowtan et al. 2015, dx.doi.org/10.1002/2015GL064888
########################################

inst <- get_climate_data(download = FALSE, baseline = TRUE)
cmip5 <- get_models_data(ensemble = "cmip5", subdir = "tas + tos")
series <- c("GISTEMP v4 Global", "NCEI Global", "HadCRUT5 Global",
  "BEST Global (Air Ice Temp.)", "JMA Global")
plot_models_and_climate_data(inst, cmip5, series = series, scenario = NULL, start = 1950,
  end = 2050.99, yearly = TRUE, ma = 12, baseline = 1986:2005, scenario_text =
  "Scenario TAS + TOS Realizations", center_fun = "mean", smooth_envelope = FALSE,
  envelope_type = "range", envelope_coverage = 0.90, envelope_text = "range",
  ylim = c(-0.75, 2.75), conf_int_i = FALSE, col_m_mean = grDevices::gray(0.8),
  alpha_envelope = 0.1, save_png = FALSE)

CMIP5 RCP 8.5 TAS + TOS scenario realizations compared to the major land+SST series.

########################################
## Remove influence of exogenous factors characterizing ENSO, volcanic activity, and solar.
## Cf. Foster & Rahmstorf 2011, dx.doi.org/10.1088/1748-9326/6/4/044022
## Update 2024: https://tamino.wordpress.com/2024/02/16/adjusted-global-temperature-data/
########################################

inst <- get_climate_data(download = FALSE, baseline = FALSE)
inst <- create_aggregate_variable(inst, c("20th C. Reanalysis V3 Surface Air Global",
  "NCEP/DOE R2 Surface Air Global"),
  "20th C. Reanalysis V3–NCEP/DOE R2 Surface Air Global", type = "head")
series <- c("GISTEMP v4 Global", "NCEI Global", "HadCRUT5 Global",
  "BEST Global (Air Ice Temp.)", "JMA Global", "RSS TLT 4.0 -70.0/82.5",
  "UAH TLT 6.0 Global", "JRA-55 Surface Air Global", "ERA5 2m Global",
  "NCEP/NCAR R1 Surface Air Global", "20th C. Reanalysis V3–NCEP/DOE R2 Surface Air Global")
start <- 1950; end <- NULL
g <- remove_exogenous_influences(inst, series = series, start = start, end = end, max_lag = 12)
series_adj <- paste(series, "(adj.)")
main <- "Average Temperature Adjusted for ENSO, Volcanic, & Solar Influences"
plot_climate_data(g, series_adj, yearly = TRUE, main = main, type = "o", pch = 19, baseline = TRUE,
  save_png = FALSE)

## Plot several forcing variables
inst <- get_climate_data(download = FALSE, baseline = FALSE) %>%
  add_default_aggregate_variables()
forcings <- c("MEI Aggregate Global", "SAOD Aggregate Global", "TSI Aggregate Global",
  "CO2 Aggregate Global (interp.)")
forcings_scaled <- paste(forcings, "scaled")
forcings_start_year <- 1880
plyr::l_ply(forcings, function(a) { inst[[paste(a, "scaled")]] <<-
  inst[[a]] %>% `is.na<-`(inst$year < forcings_start_year) %>% `-`(min(., na.rm = TRUE)) %>%
    `/`(max(., na.rm = TRUE)) }) # Optimize white space
plot_climate_data(inst, series = forcings_scaled[1:4], start = forcings_start_year,
  ylab = "Normalized Ordinate", main = "Climate Forcings", ma = 12, yearly = FALSE, lwd = 2,
  col = c("darkblue", "darkgrey", "darkorange", "darkred"), save_png = FALSE)

Remove influence of exogenous factors characterizing ENSO, volcanic activity, and solar. Climate forcing variables for ENSO, volcanic activity, solar, and CO2.

########################################
## Estimate optimal no. & location of significant changepoints in piecewise regression of
##   climate series.
## Cf. Figure 1 of Cahill et al. 2015, dx.doi.org/10.1088/1748-9326/10/8/084002
########################################

inst <- get_climate_data(download = FALSE, baseline = TRUE)
series <- c("HadCRUT5 Global", "NCEI Global", "GISTEMP v4 Global", "JMA Global")
plot_climate_data(inst, series, yearly = TRUE, col = c("red", "purple", "blue", "green"), lwd = 1,
  segmented = TRUE, save_png = FALSE)

Estimate optimal number and location of significant changepoints in piecewise regression of climate series.

########################################
## Has sea-level rise accelerated?
## V. Church & White 2011, dx.doi.org/10.1007/s10712-011-9119-1.
## V. https://tamino.wordpress.com/2017/10/24/what-is-sea-level-up-to-lately
########################################

inst <- get_climate_data(download = FALSE, baseline = FALSE)
slr_series <- c("CSIRO Reconstructed Global Mean Sea Level", "AVISO Global Mean Sea Level")
slr <- purrr::reduce(
  list(
    inst,
    remove_periodic_cycle(inst, slr_series[1], center = FALSE, keep_series = FALSE,
      suffix = " (non-seasonal)"),
    remove_periodic_cycle(inst, slr_series[2], center = FALSE, keep_series = FALSE,
      suffix = " (non-seasonal)")
  ), dplyr::full_join) %>%
  dplyr::mutate(yr_part = year + (2 * month - 1)/24, .after = "month") %>%
  dplyr::arrange(year, month)
slr_baseline <- 1993:2013
slr <- create_aggregate_variable(slr, c("CSIRO Reconstructed Global Mean Sea Level (non-seasonal)",
  "AVISO Global Mean Sea Level (non-seasonal)"), "Global Mean Sea Level Aggregate",
  type = "head", baseline = slr_baseline)

sm <- fit_segmented_model(oss(slr, "Global Mean Sea Level Aggregate"),
  "Global Mean Sea Level Aggregate", yearly = TRUE, breakpoints... = list(h = 36, breaks = NULL))

slr_cols <- c("#1F78B4", "#33A02C")
slr_ylab <- sprintf("Global Mean Sea Level (mm) w.r.t %s–%s", min(slr_baseline), max(slr_baseline))
slr_main <- "Composite GMSL (Reconstruction + Satellite Altimetry)"
slr_end_callback <- expression({
  plot(sm$piecewise[["Global Mean Sea Level Aggregate"]]$sm, col = scales::alpha("red", 0.4),
    add = TRUE, rug = FALSE)
  psi <- sprintf(sm$piecewise[["Global Mean Sea Level Aggregate"]]$sm$psi[, 2], fmt = "%1.1f")
  vline(psi)
  ptbl <- segmented::slope(sm$piecewise[["Global Mean Sea Level Aggregate"]]$sm)$year %>%
    apply(2, sprintf, fmt = "%1.2f")
  colnames(ptbl)[1] <- "Rate (mm/y)"
  yr <- sm$piecewise[["Global Mean Sea Level Aggregate"]]$sm$model$year
  rownames(ptbl) <- c(min(yr), sort(rep(psi %>% as.numeric %>% round, 2)), max(yr)) %>%
    keystone::chunk(2) %>% sapply(paste, collapse = "–")
  ptbl %>% plotrix::addtable2plot(x = 1940, y = -200, table = ., cex = 0.8, bg = "lightgray",
    display.rownames = TRUE)
})
plot_climate_data(slr, series = paste(slr_series, "(non-seasonal)"), yearly = TRUE,
  baseline = slr_baseline, conf_int = TRUE, col = slr_cols, lwd = 2, main = slr_main,
  ylab = slr_ylab, ylim = NULL, end_callback = slr_end_callback, save_png = FALSE)

Has sea-level rise accelerated?

########################################
## Calculate global average land temperature anomalies from GHCN-m station data, w/ 95% CI.
## SOP:
## • For each station/month, calc 1951–1980 baseline
## • Compute temp anomalies by subtracting station/month baseline from absolute temps
## • Split region into lat-long grid
## • For each grid cell, get monthly avg of all anomalies
## • Lat-weight each cell & calc monthly region avg
########################################

## If 'download' = TRUE, import & prep data from https://www.ncei.noaa.gov/pub/data/ghcn/v4/
## (It will take a while, so be patient; later, you can use 'download = FALSE'.)
download <- TRUE
ghcn_v4_avg_f <- new.env()
get_series_from_ghcn_gridded(ver = 4, temp = "avg", quality = "f", load_env = ghcn_v4_avg_f,
  download = download)

ghcn_v4_avg_u <- new.env()
get_series_from_ghcn_gridded(ver = 4, temp = "avg", quality = "u", load_env = ghcn_v4_avg_u,
  download = download)

## Select only stations (e.g.) which are longer-term over the coverage period
coverage_years <- NULL # Default: keep all stations
meets_filter_criteria_u <- make_coverage_filter(ghcn_v4_avg_u$ghcn, coverage_years,
  min_nonmissing_months = 12, min_nonmissing_years_prop = 0.9)
meets_filter_criteria_u %>% table
meets_filter_criteria_f <- make_coverage_filter(ghcn_v4_avg_f$ghcn, coverage_years,
  min_nonmissing_months = 12, min_nonmissing_years_prop = 0.9)
meets_filter_criteria_f %>% table

## In the case of adj. v unadj., however, the temporal coverage is usu. different;
##   so for comparison, let's use the unadj. stations for both series.
gf <-
  ghcn_v4_avg_f$ghcn %>% dplyr::select(any_of(c(get_climate_series_names(., invert = FALSE),
  meets_filter_criteria_u[meets_filter_criteria_u] %>% names)))

lat_range <- c(90, -90); long_range <- c(-180, 180) # Default global coverage
#lat_range <- c(0, -90); long_range <- c(-180, 180) # Southern hemisphere
#lat_range <- c(37, 71); long_range <- c(-22, 45) # Europe
#lat_range <- c(90, 60); long_range <- c(-180, 180) # Arctic
#lat_range <- c(50, 25); long_range <- c(-125, -70) # USA
round_to_nearest <- NULL #1.0

## Supply paths to XLSX files to store portable versions of data & results:
spreadsheet_path_f <- spreadsheet_path_u <- NULL

grid_size <- c(5, 5)
use_lat_zonal_weights <- TRUE

## Raw data
uadj_ghcn_v4_avg_u <-
  make_ghcn_temperature_series(ghcn_v4_avg_u$ghcn, ghcn_v4_avg_u$station_metadata,
    other_filters = meets_filter_criteria_u, grid_size = grid_size, lat_range = lat_range,
    long_range = long_range, make_planetary_grid... = list(use_lat_weights = TRUE),
    use_lat_zonal_weights = use_lat_zonal_weights, uncertainty = TRUE, boot_seed = NULL,
    round_to_nearest = round_to_nearest, spreadsheet_path = spreadsheet_path_u)

## Homogenized/adjusted data
adj_ghcn_v4_avg_f <-
  make_ghcn_temperature_series(gf, ghcn_v4_avg_f$station_metadata, grid_size = grid_size,
    lat_range = lat_range, long_range = long_range,
    make_planetary_grid... = list(use_lat_weights = TRUE),
    use_lat_zonal_weights = use_lat_zonal_weights, uncertainty = TRUE, boot_seed = NULL,
    round_to_nearest = round_to_nearest, spreadsheet_path = spreadsheet_path_f)

## Collect both data sets & equivalent official series for comparison
inst <- get_climate_data(download = FALSE, baseline = FALSE) %>%
  { purrr::reduce(list(., adj_ghcn_v4_avg_f, uadj_ghcn_v4_avg_u), dplyr::full_join,
    by = c("month", "year")) } %>%
  dplyr::mutate(yr_part = year + (month - 0.5)/12, met_year = NA)

series <- c(names(adj_ghcn_v4_avg_f)[3], names(uadj_ghcn_v4_avg_u)[3],
  "GISTEMP v4 Global Land")

extra_trends <- sapply(series[1:2],
  function(a) { list(range = c(1970, current_year - 0.01), lwd = 2) }, simplify = FALSE)
## Plot both data sets & equivalent official series for comparison
r <-
  plot_climate_data(inst, series = series[1:3], 1850, yearly = TRUE, baseline = 1981:2010,
    conf_int = TRUE, conf_int_series = NULL, ci_alpha = c(0.2, 0.2, 0.2), lwd = c(2, 2),
    ylim = NULL, alpha = c(1, 1, 1), trend = TRUE, trend... = list(keep_default_trends = FALSE,
    rate_expression =
      sprintf("expression(Delta ~ \"= %%+1.2f ± %%1.2f %s/dec. %s\")", "°C", "1970–" %_%
        (current_year - 1))),
    extra_trends = extra_trends, trend_legend_inset = c(0.2, 0.01),
    make_standardized_plot_filename... = list(suffix = "1970_adj-v-unadj-all"),
    save_png = FALSE)

## Station counts
station_counts <- get_station_counts(x = uadj_ghcn_v4_avg_u, env = ghcn_v4_avg_u,
  region_name = "v4 Global Complete", start_year = 1850, end_year = current_year - 0.01,
  save_png = FALSE)
## Max station count for a single month:
station_counts$station_counts_series$`station count` %>% max(na.rm = TRUE) %>% print
## Total no. of stations used in average temp series:
station_counts$station_series %>% get_climate_series_names %>% length %>% print

## Station distribution
plot_stations_map(attr(uadj_ghcn_v4_avg_u, "filtered_metadata"), region_name = "global",
  title_text = sprintf("GHCN-m v4 global station distribution"), save_png = FALSE)

Global average land temperatures from GHCN-m station data. No. of GHCN-m stations contributing to average at each time point. Spatial distribution of all GHCN-m stations contributing to average.

More information

climeseries is presented here as a working beta. For more information on what the package offers, check out

library(help = climeseries)

from the R command line.

Data sets

The latest data sets downloaded by me (where "latest" means whenever I've gotten around to updating them) can be found here: Current "climeseries" data. Older data sets are listed here, too.

Latest column names

The current column names—the names of the monthly climatological data sets—are given below. You will eventually find more information on each data set from the R command line via:

?get_climate_data
  1. year
  2. met_year
  3. yr_part
  4. month
  5. 20th C. Reanalysis V3 Sea Surface Global
  6. 20th C. Reanalysis V3 Sea Surface NH
  7. 20th C. Reanalysis V3 Sea Surface SH
  8. 20th C. Reanalysis V3 Surface Air Global
  9. 20th C. Reanalysis V3 Surface Air Global Land
  10. 20th C. Reanalysis V3 Surface Air Global Ocean
  11. 20th C. Reanalysis V3 Surface Air NH
  12. 20th C. Reanalysis V3 Surface Air NH Land
  13. 20th C. Reanalysis V3 Surface Air NH Ocean
  14. 20th C. Reanalysis V3 Surface Air NH Polar
  15. 20th C. Reanalysis V3 Surface Air NH Polar Land
  16. 20th C. Reanalysis V3 Surface Air NH Polar Ocean
  17. 20th C. Reanalysis V3 Surface Air SH
  18. 20th C. Reanalysis V3 Surface Air SH Land
  19. 20th C. Reanalysis V3 Surface Air SH Ocean
  20. 20th C. Reanalysis V3 Surface Air SH Polar
  21. 20th C. Reanalysis V3 Surface Air SH Polar Land
  22. 20th C. Reanalysis V3 Surface Air SH Polar Ocean
  23. 20th C. Reanalysis V3 Surface Air Tropics
  24. 20th C. Reanalysis V3 Surface Air Tropics Land
  25. 20th C. Reanalysis V3 Surface Air Tropics Ocean
  26. 20th C. Reanalysis V3 Surface Air USA 48
  27. 20th C. Reanalysis V3 Surface Air USA 48 Land
  28. 20th C. Reanalysis V3 Surface Air USA 48 Ocean
  29. AIRS v6 Global
  30. AIRS v7 Global
  31. AIRS v6 N.Hemi
  32. AIRS v7 N.Hemi
  33. AIRS v6 S.Hemi
  34. AIRS v7 S.Hemi
  35. AIRS v6 Zonal Glob
  36. AIRS v6 Zonal N.Hemi
  37. AIRS v6 Zonal S.Hemi
  38. AIRS v6 Zonal 24N-90N
  39. AIRS v6 Zonal 24S-24N
  40. AIRS v6 Zonal 90S-24S
  41. AIRS v6 Zonal 64N-90N
  42. AIRS v6 Zonal 44N-64N
  43. AIRS v6 Zonal 24N-44N
  44. AIRS v6 Zonal EQU-24N
  45. AIRS v6 Zonal 24S-EQU
  46. AIRS v6 Zonal 44S-24S
  47. AIRS v6 Zonal 64S-44S
  48. AIRS v6 Zonal 90S-64S
  49. AIRS v7 Zonal Glob
  50. AIRS v7 Zonal N.Hemi
  51. AIRS v7 Zonal S.Hemi
  52. AIRS v7 Zonal 24N-90N
  53. AIRS v7 Zonal 24S-24N
  54. AIRS v7 Zonal 90S-24S
  55. AIRS v7 Zonal 64N-90N
  56. AIRS v7 Zonal 44N-64N
  57. AIRS v7 Zonal 24N-44N
  58. AIRS v7 Zonal EQU-24N
  59. AIRS v7 Zonal 24S-EQU
  60. AIRS v7 Zonal 44S-24S
  61. AIRS v7 Zonal 64S-44S
  62. AIRS v7 Zonal 90S-64S
  63. Antarctica Land Ice Mass Variation
  64. Antarctica Land Ice Mass Variation_uncertainty
  65. AVISO Global Mean Sea Level
  66. AVISO Global Mean Sea Level (nonseasonal)
  67. BEST Antarctica
  68. BEST Antarctica_uncertainty
  69. BEST Global (Air Ice Temp.)
  70. BEST Global (Water Ice Temp.)
  71. BEST Global (Air Ice Temp.)_uncertainty
  72. BEST Global (Water Ice Temp.)_uncertainty
  73. BEST Global Land
  74. BEST Global Land_uncertainty
  75. BEST Greenland
  76. BEST Greenland_uncertainty
  77. BE Land+SST (Air Ice Temp.) (0N-90N, 180W-180E)
  78. BE Land+SST (Air Ice Temp.) (90S-0N, 180W-180E)
  79. BEST NH Land
  80. BEST NH Land_uncertainty
  81. BEST SH Land
  82. BEST SH Land_uncertainty
  83. BEST US
  84. BEST US_uncertainty
  85. CO2 Cape Grim
  86. CO2 Cape Grim_uncertainty
  87. CO2 Mauna Loa
  88. CO2 NOAA ESRL
  89. Cowtan & Way Krig. Global
  90. Cowtan & Way Krig. Global_uncertainty
  91. Cowtan & Way Krig. Global Land
  92. CRUTEM4 Global
  93. CRUTEM4 NH
  94. CRUTEM4 SH
  95. CRUTEM4v Global
  96. CRUTEM4v NH
  97. CRUTEM4v SH
  98. CRUTEM5 Global
  99. CRUTEM5 Global_uncertainty
  100. CRUTEM5 NH
  101. CRUTEM5 NH_uncertainty
  102. CRUTEM5 SH
  103. CRUTEM5 SH_uncertainty
  104. CSIRO Global Mean Sea Level
  105. CSIRO Reconstructed Global Mean Sea Level
  106. CSIRO Reconstructed Global Mean Sea Level_uncertainty
  107. ERA5 2m Global
  108. ERA5 2m European
  109. ERA5 Surface Air Global
  110. ERA5 Surface Air Global Land
  111. ERA5 Surface Air Global Ocean
  112. ERA5 Surface Air NH
  113. ERA5 Surface Air NH Land
  114. ERA5 Surface Air NH Ocean
  115. ERA5 Surface Air NH Polar
  116. ERA5 Surface Air NH Polar Land
  117. ERA5 Surface Air NH Polar Ocean
  118. ERA5 Surface Air SH
  119. ERA5 Surface Air SH Land
  120. ERA5 Surface Air SH Ocean
  121. ERA5 Surface Air SH Polar
  122. ERA5 Surface Air SH Polar Land
  123. ERA5 Surface Air SH Polar Ocean
  124. ERA5 Surface Air Tropics
  125. ERA5 Surface Air Tropics Land
  126. ERA5 Surface Air Tropics Ocean
  127. ERA5 Surface Air USA 48
  128. ERA5 Surface Air USA 48 Land
  129. ERA5 Surface Air USA 48 Ocean
  130. ESRL AMO
  131. Extended Multivariate ENSO Index
  132. GISS Stratospheric Aerosol Optical Depth (550 nm) Global
  133. GISS Stratospheric Aerosol Optical Depth (550 nm) NH
  134. GISS Stratospheric Aerosol Optical Depth (550 nm) SH
  135. GISTEMP v3 Global
  136. GISTEMP v3 Global Land
  137. GISTEMP v3 NH
  138. GISTEMP v3 NH Land
  139. GISTEMP v3 SH
  140. GISTEMP v3 SH Land
  141. GISTEMP v3 Zonal Glob
  142. GISTEMP v3 Zonal NHem
  143. GISTEMP v3 Zonal SHem
  144. GISTEMP v3 Zonal 24N-90N
  145. GISTEMP v3 Zonal 24S-24N
  146. GISTEMP v3 Zonal 90S-24S
  147. GISTEMP v3 Zonal 64N-90N
  148. GISTEMP v3 Zonal 44N-64N
  149. GISTEMP v3 Zonal 24N-44N
  150. GISTEMP v3 Zonal EQU-24N
  151. GISTEMP v3 Zonal 24S-EQU
  152. GISTEMP v3 Zonal 44S-24S
  153. GISTEMP v3 Zonal 64S-44S
  154. GISTEMP v3 Zonal 90S-64S
  155. GISTEMP v3 Zonal Land Glob
  156. GISTEMP v3 Zonal Land NHem
  157. GISTEMP v3 Zonal Land SHem
  158. GISTEMP v3 Zonal Land 24N-90N
  159. GISTEMP v3 Zonal Land 24S-24N
  160. GISTEMP v3 Zonal Land 90S-24S
  161. GISTEMP v3 Zonal Land 64N-90N
  162. GISTEMP v3 Zonal Land 44N-64N
  163. GISTEMP v3 Zonal Land 24N-44N
  164. GISTEMP v3 Zonal Land EQU-24N
  165. GISTEMP v3 Zonal Land 24S-EQU
  166. GISTEMP v3 Zonal Land 44S-24S
  167. GISTEMP v3 Zonal Land 64S-44S
  168. GISTEMP v3 Zonal Land 90S-64S
  169. GISTEMP v4 Global
  170. GISTEMP v4 Global Land
  171. GISTEMP v4 NH
  172. GISTEMP v4 NH Land
  173. GISTEMP v4 SH
  174. GISTEMP v4 SH Land
  175. GISTEMP v4 Zonal Glob
  176. GISTEMP v4 Zonal NHem
  177. GISTEMP v4 Zonal SHem
  178. GISTEMP v4 Zonal 24N-90N
  179. GISTEMP v4 Zonal 24S-24N
  180. GISTEMP v4 Zonal 90S-24S
  181. GISTEMP v4 Zonal 64N-90N
  182. GISTEMP v4 Zonal 44N-64N
  183. GISTEMP v4 Zonal 24N-44N
  184. GISTEMP v4 Zonal EQU-24N
  185. GISTEMP v4 Zonal 24S-EQU
  186. GISTEMP v4 Zonal 44S-24S
  187. GISTEMP v4 Zonal 64S-44S
  188. GISTEMP v4 Zonal 90S-64S
  189. GISTEMP v4 Zonal Land Glob
  190. GISTEMP v4 Zonal Land NHem
  191. GISTEMP v4 Zonal Land SHem
  192. GISTEMP v4 Zonal Land 24N-90N
  193. GISTEMP v4 Zonal Land 24S-24N
  194. GISTEMP v4 Zonal Land 90S-24S
  195. GISTEMP v4 Zonal Land 64N-90N
  196. GISTEMP v4 Zonal Land 44N-64N
  197. GISTEMP v4 Zonal Land 24N-44N
  198. GISTEMP v4 Zonal Land EQU-24N
  199. GISTEMP v4 Zonal Land 24S-EQU
  200. GISTEMP v4 Zonal Land 44S-24S
  201. GISTEMP v4 Zonal Land 64S-44S
  202. GISTEMP v4 Zonal Land 90S-64S
  203. GRACE-FO Antarctic Ice Mass global [Gt]
  204. GRACE-FO Antarctic Ice Mass uncertainty_global [Gt]
  205. GRACE-FO Antarctic Ice Mass 301 [Gt]
  206. GRACE-FO Antarctic Ice Mass uncertainty_301 [Gt]
  207. GRACE-FO Antarctic Ice Mass 302 [Gt]
  208. GRACE-FO Antarctic Ice Mass uncertainty_302 [Gt]
  209. GRACE-FO Antarctic Ice Mass 303 [Gt]
  210. GRACE-FO Antarctic Ice Mass uncertainty_303 [Gt]
  211. GRACE-FO Antarctic Ice Mass 304 [Gt]
  212. GRACE-FO Antarctic Ice Mass uncertainty_304 [Gt]
  213. GRACE-FO Antarctic Ice Mass 305 [Gt]
  214. GRACE-FO Antarctic Ice Mass uncertainty_305 [Gt]
  215. GRACE-FO Antarctic Ice Mass 306 [Gt]
  216. GRACE-FO Antarctic Ice Mass uncertainty_306 [Gt]
  217. GRACE-FO Antarctic Ice Mass 307 [Gt]
  218. GRACE-FO Antarctic Ice Mass uncertainty_307 [Gt]
  219. GRACE-FO Antarctic Ice Mass 308 [Gt]
  220. GRACE-FO Antarctic Ice Mass uncertainty_308 [Gt]
  221. GRACE-FO Antarctic Ice Mass 309 [Gt]
  222. GRACE-FO Antarctic Ice Mass uncertainty_309 [Gt]
  223. GRACE-FO Antarctic Ice Mass 310 [Gt]
  224. GRACE-FO Antarctic Ice Mass uncertainty_310 [Gt]
  225. GRACE-FO Antarctic Ice Mass 311 [Gt]
  226. GRACE-FO Antarctic Ice Mass uncertainty_311 [Gt]
  227. GRACE-FO Antarctic Ice Mass 312 [Gt]
  228. GRACE-FO Antarctic Ice Mass uncertainty_312 [Gt]
  229. GRACE-FO Antarctic Ice Mass 313 [Gt]
  230. GRACE-FO Antarctic Ice Mass uncertainty_313 [Gt]
  231. GRACE-FO Antarctic Ice Mass 314 [Gt]
  232. GRACE-FO Antarctic Ice Mass uncertainty_314 [Gt]
  233. GRACE-FO Antarctic Ice Mass 315 [Gt]
  234. GRACE-FO Antarctic Ice Mass uncertainty_315 [Gt]
  235. GRACE-FO Antarctic Ice Mass 316 [Gt]
  236. GRACE-FO Antarctic Ice Mass uncertainty_316 [Gt]
  237. GRACE-FO Antarctic Ice Mass 317 [Gt]
  238. GRACE-FO Antarctic Ice Mass uncertainty_317 [Gt]
  239. GRACE-FO Antarctic Ice Mass 318 [Gt]
  240. GRACE-FO Antarctic Ice Mass uncertainty_318 [Gt]
  241. GRACE-FO Antarctic Ice Mass 319 [Gt]
  242. GRACE-FO Antarctic Ice Mass uncertainty_319 [Gt]
  243. GRACE-FO Antarctic Ice Mass 320 [Gt]
  244. GRACE-FO Antarctic Ice Mass uncertainty_320 [Gt]
  245. GRACE-FO Antarctic Ice Mass 321 [Gt]
  246. GRACE-FO Antarctic Ice Mass uncertainty_321 [Gt]
  247. GRACE-FO Antarctic Ice Mass 322 [Gt]
  248. GRACE-FO Antarctic Ice Mass uncertainty_322 [Gt]
  249. GRACE-FO Antarctic Ice Mass 323 [Gt]
  250. GRACE-FO Antarctic Ice Mass uncertainty_323 [Gt]
  251. GRACE-FO Antarctic Ice Mass 324 [Gt]
  252. GRACE-FO Antarctic Ice Mass uncertainty_324 [Gt]
  253. GRACE-FO Antarctic Ice Mass 325 [Gt]
  254. GRACE-FO Antarctic Ice Mass uncertainty_325 [Gt]
  255. GRACE-FO Greenland Ice Mass global [Gt]
  256. GRACE-FO Greenland Ice Mass uncertainty_global [Gt]
  257. GRACE-FO Greenland Ice Mass 301 [Gt]
  258. GRACE-FO Greenland Ice Mass uncertainty_301 [Gt]
  259. GRACE-FO Greenland Ice Mass 302 [Gt]
  260. GRACE-FO Greenland Ice Mass uncertainty_302 [Gt]
  261. GRACE-FO Greenland Ice Mass 303 [Gt]
  262. GRACE-FO Greenland Ice Mass uncertainty_303 [Gt]
  263. GRACE-FO Greenland Ice Mass 304 [Gt]
  264. GRACE-FO Greenland Ice Mass uncertainty_304 [Gt]
  265. GRACE-FO Greenland Ice Mass 305 [Gt]
  266. GRACE-FO Greenland Ice Mass uncertainty_305 [Gt]
  267. GRACE-FO Greenland Ice Mass 306 [Gt]
  268. GRACE-FO Greenland Ice Mass uncertainty_306 [Gt]
  269. GRACE-FO Greenland Ice Mass 307 [Gt]
  270. GRACE-FO Greenland Ice Mass uncertainty_307 [Gt]
  271. Greenland Land Ice Mass Variation
  272. Greenland Land Ice Mass Variation_uncertainty
  273. HadCET
  274. HadCRUT4 Global
  275. HadCRUT4 Global_uncertainty
  276. HadCRUT4 NH
  277. HadCRUT4 NH_uncertainty
  278. HadCRUT4 SH
  279. HadCRUT4 SH_uncertainty
  280. HadCRUT4 Tropics
  281. HadCRUT4 Tropics_uncertainty
  282. HadCRUT5 Global
  283. HadCRUT5 Global_uncertainty
  284. HadCRUT5 Global (not infilled)
  285. HadCRUT5 Global (not infilled)_uncertainty
  286. HadCRUT5 NH
  287. HadCRUT5 NH_uncertainty
  288. HadCRUT5 NH (not infilled)
  289. HadCRUT5 NH (not infilled)_uncertainty
  290. HadCRUT5 SH
  291. HadCRUT5 SH_uncertainty
  292. HadCRUT5 SH (not infilled)
  293. HadCRUT5 SH (not infilled)_uncertainty
  294. HadSST3 Global
  295. HadSST3 Global_uncertainty
  296. HadSST3 NH
  297. HadSST3 NH_uncertainty
  298. HadSST3 SH
  299. HadSST3 SH_uncertainty
  300. HadSST3 Tropics
  301. HadSST3 Tropics_uncertainty
  302. HadSST4 Global
  303. HadSST4 Global_uncertainty
  304. HadSST4 NH
  305. HadSST4 NH_uncertainty
  306. HadSST4 SH
  307. HadSST4 SH_uncertainty
  308. HadSST4 Tropics
  309. HadSST4 Tropics_uncertainty
  310. JMA Global
  311. JRA-55 Surface Air Global
  312. JRA-55 Surface Air Global Land
  313. JRA-55 Surface Air Global Ocean
  314. JRA-55 Surface Air NH
  315. JRA-55 Surface Air NH Land
  316. JRA-55 Surface Air NH Ocean
  317. JRA-55 Surface Air NH Polar
  318. JRA-55 Surface Air NH Polar Land
  319. JRA-55 Surface Air NH Polar Ocean
  320. JRA-55 Surface Air SH
  321. JRA-55 Surface Air SH Land
  322. JRA-55 Surface Air SH Ocean
  323. JRA-55 Surface Air SH Polar
  324. JRA-55 Surface Air SH Polar Land
  325. JRA-55 Surface Air SH Polar Ocean
  326. JRA-55 Surface Air Tropics
  327. JRA-55 Surface Air Tropics Land
  328. JRA-55 Surface Air Tropics Ocean
  329. JRA-55 Surface Air USA 48
  330. JRA-55 Surface Air USA 48 Land
  331. JRA-55 Surface Air USA 48 Ocean
  332. MERRA-2 Surface Air Global
  333. MERRA-2 Surface Air Global Land
  334. MERRA-2 Surface Air Global Ocean
  335. MERRA-2 Surface Air NH
  336. MERRA-2 Surface Air NH Land
  337. MERRA-2 Surface Air NH Ocean
  338. MERRA-2 Surface Air NH Polar
  339. MERRA-2 Surface Air NH Polar Land
  340. MERRA-2 Surface Air NH Polar Ocean
  341. MERRA-2 Surface Air SH
  342. MERRA-2 Surface Air SH Land
  343. MERRA-2 Surface Air SH Ocean
  344. MERRA-2 Surface Air SH Polar
  345. MERRA-2 Surface Air SH Polar Land
  346. MERRA-2 Surface Air SH Polar Ocean
  347. MERRA-2 Surface Air Tropics
  348. MERRA-2 Surface Air Tropics Land
  349. MERRA-2 Surface Air Tropics Ocean
  350. MERRA-2 Surface Air USA 48
  351. MERRA-2 Surface Air USA 48 Land
  352. MERRA-2 Surface Air USA 48 Ocean
  353. Multivariate ENSO Index
  354. NCEI Global
  355. NCEI Global Land
  356. NCEI Global Ocean
  357. NCEI NH
  358. NCEI NH Land
  359. NCEI NH Ocean
  360. NCEI Atlantic Ocean Heat Content 0-2000m
  361. NCEI Atlantic Ocean Heat Content 0-2000m NH
  362. NCEI Atlantic Ocean Heat Content 0-2000m SH
  363. NCEI Atlantic Ocean Heat Content 0-700m
  364. NCEI Atlantic Ocean Heat Content 0-700m NH
  365. NCEI Atlantic Ocean Heat Content 0-700m SH
  366. NCEI Global Ocean Heat Content 0-2000m
  367. NCEI Global Ocean Heat Content 0-2000m NH
  368. NCEI Global Ocean Heat Content 0-2000m SH
  369. NCEI Global Ocean Heat Content 0-700m
  370. NCEI Global Ocean Heat Content 0-700m NH
  371. NCEI Global Ocean Heat Content 0-700m SH
  372. NCEI Indian Ocean Heat Content 0-2000m
  373. NCEI Indian Ocean Heat Content 0-2000m NH
  374. NCEI Indian Ocean Heat Content 0-2000m SH
  375. NCEI Indian Ocean Heat Content 0-700m
  376. NCEI Indian Ocean Heat Content 0-700m NH
  377. NCEI Indian Ocean Heat Content 0-700m SH
  378. NCEI Pacific Ocean Heat Content 0-2000m
  379. NCEI Pacific Ocean Heat Content 0-2000m NH
  380. NCEI Pacific Ocean Heat Content 0-2000m SH
  381. NCEI Pacific Ocean Heat Content 0-700m
  382. NCEI Pacific Ocean Heat Content 0-700m NH
  383. NCEI Pacific Ocean Heat Content 0-700m SH
  384. NCEI Atlantic Ocean Heat Content 0-2000m (Pentadal)
  385. NCEI Atlantic Ocean Heat Content 0-2000m NH (Pentadal)
  386. NCEI Atlantic Ocean Heat Content 0-2000m SH (Pentadal)
  387. NCEI Atlantic Ocean Heat Content 0-700m (Pentadal)
  388. NCEI Atlantic Ocean Heat Content 0-700m NH (Pentadal)
  389. NCEI Atlantic Ocean Heat Content 0-700m SH (Pentadal)
  390. NCEI Global Ocean Heat Content 0-2000m (Pentadal)
  391. NCEI Global Ocean Heat Content 0-2000m NH (Pentadal)
  392. NCEI Global Ocean Heat Content 0-2000m SH (Pentadal)
  393. NCEI Global Ocean Heat Content 0-700m (Pentadal)
  394. NCEI Global Ocean Heat Content 0-700m NH (Pentadal)
  395. NCEI Global Ocean Heat Content 0-700m SH (Pentadal)
  396. NCEI Indian Ocean Heat Content 0-2000m (Pentadal)
  397. NCEI Indian Ocean Heat Content 0-2000m NH (Pentadal)
  398. NCEI Indian Ocean Heat Content 0-2000m SH (Pentadal)
  399. NCEI Indian Ocean Heat Content 0-700m (Pentadal)
  400. NCEI Indian Ocean Heat Content 0-700m NH (Pentadal)
  401. NCEI Indian Ocean Heat Content 0-700m SH (Pentadal)
  402. NCEI Pacific Ocean Heat Content 0-2000m (Pentadal)
  403. NCEI Pacific Ocean Heat Content 0-2000m NH (Pentadal)
  404. NCEI Pacific Ocean Heat Content 0-2000m SH (Pentadal)
  405. NCEI Pacific Ocean Heat Content 0-700m (Pentadal)
  406. NCEI Pacific Ocean Heat Content 0-700m NH (Pentadal)
  407. NCEI Pacific Ocean Heat Content 0-700m SH (Pentadal)
  408. NCEI Atlantic Ocean Heat Content 0-2000m_uncertainty
  409. NCEI Atlantic Ocean Heat Content 0-2000m NH_uncertainty
  410. NCEI Atlantic Ocean Heat Content 0-2000m SH_uncertainty
  411. NCEI Atlantic Ocean Heat Content 0-700m_uncertainty
  412. NCEI Atlantic Ocean Heat Content 0-700m NH_uncertainty
  413. NCEI Atlantic Ocean Heat Content 0-700m SH_uncertainty
  414. NCEI Global Ocean Heat Content 0-2000m_uncertainty
  415. NCEI Global Ocean Heat Content 0-2000m NH_uncertainty
  416. NCEI Global Ocean Heat Content 0-2000m SH_uncertainty
  417. NCEI Global Ocean Heat Content 0-700m_uncertainty
  418. NCEI Global Ocean Heat Content 0-700m NH_uncertainty
  419. NCEI Global Ocean Heat Content 0-700m SH_uncertainty
  420. NCEI Indian Ocean Heat Content 0-2000m_uncertainty
  421. NCEI Indian Ocean Heat Content 0-2000m NH_uncertainty
  422. NCEI Indian Ocean Heat Content 0-2000m SH_uncertainty
  423. NCEI Indian Ocean Heat Content 0-700m_uncertainty
  424. NCEI Indian Ocean Heat Content 0-700m NH_uncertainty
  425. NCEI Indian Ocean Heat Content 0-700m SH_uncertainty
  426. NCEI Pacific Ocean Heat Content 0-2000m_uncertainty
  427. NCEI Pacific Ocean Heat Content 0-2000m NH_uncertainty
  428. NCEI Pacific Ocean Heat Content 0-2000m SH_uncertainty
  429. NCEI Pacific Ocean Heat Content 0-700m_uncertainty
  430. NCEI Pacific Ocean Heat Content 0-700m NH_uncertainty
  431. NCEI Pacific Ocean Heat Content 0-700m SH_uncertainty
  432. NCEI Atlantic Ocean Heat Content 0-2000m (Pentadal)_uncertainty
  433. NCEI Atlantic Ocean Heat Content 0-2000m NH (Pentadal)_uncertainty
  434. NCEI Atlantic Ocean Heat Content 0-2000m SH (Pentadal)_uncertainty
  435. NCEI Atlantic Ocean Heat Content 0-700m (Pentadal)_uncertainty
  436. NCEI Atlantic Ocean Heat Content 0-700m NH (Pentadal)_uncertainty
  437. NCEI Atlantic Ocean Heat Content 0-700m SH (Pentadal)_uncertainty
  438. NCEI Global Ocean Heat Content 0-2000m (Pentadal)_uncertainty
  439. NCEI Global Ocean Heat Content 0-2000m NH (Pentadal)_uncertainty
  440. NCEI Global Ocean Heat Content 0-2000m SH (Pentadal)_uncertainty
  441. NCEI Global Ocean Heat Content 0-700m (Pentadal)_uncertainty
  442. NCEI Global Ocean Heat Content 0-700m NH (Pentadal)_uncertainty
  443. NCEI Global Ocean Heat Content 0-700m SH (Pentadal)_uncertainty
  444. NCEI Indian Ocean Heat Content 0-2000m (Pentadal)_uncertainty
  445. NCEI Indian Ocean Heat Content 0-2000m NH (Pentadal)_uncertainty
  446. NCEI Indian Ocean Heat Content 0-2000m SH (Pentadal)_uncertainty
  447. NCEI Indian Ocean Heat Content 0-700m (Pentadal)_uncertainty
  448. NCEI Indian Ocean Heat Content 0-700m NH (Pentadal)_uncertainty
  449. NCEI Indian Ocean Heat Content 0-700m SH (Pentadal)_uncertainty
  450. NCEI Pacific Ocean Heat Content 0-2000m (Pentadal)_uncertainty
  451. NCEI Pacific Ocean Heat Content 0-2000m NH (Pentadal)_uncertainty
  452. NCEI Pacific Ocean Heat Content 0-2000m SH (Pentadal)_uncertainty
  453. NCEI Pacific Ocean Heat Content 0-700m (Pentadal)_uncertainty
  454. NCEI Pacific Ocean Heat Content 0-700m NH (Pentadal)_uncertainty
  455. NCEI Pacific Ocean Heat Content 0-700m SH (Pentadal)_uncertainty
  456. NCEI SH
  457. NCEI SH Land
  458. NCEI SH Ocean
  459. NCEI US Avg. Temp.
  460. NCEI US Max. Temp.
  461. NCEI US Min. Temp.
  462. NCEI US Palmer Z-Index
  463. NCEI US PDSI
  464. NCEI US PHDI
  465. NCEI US PMDI
  466. NCEI US Precip.
  467. NCEI v4 Land 60S-30S
  468. NCEI v4 Land 60N-90N
  469. NCEI v4 Land 60S-60N
  470. NCEI v4 Land 90S-00N
  471. NCEI v4 Land 90S-20S
  472. NCEI v4 Land 90S-60S
  473. NCEI v4 Land 90S-90N
  474. NCEI v4 Land + Ocean 00N-90N
  475. NCEI v4 Land + Ocean 00N-30N
  476. NCEI v4 Land + Ocean 20N-90N
  477. NCEI v4 Land + Ocean 20S-20N
  478. NCEI v4 Land + Ocean 30N-60N
  479. NCEI v4 Land + Ocean 30S-00N
  480. NCEI v4 Land 00N-30N
  481. NCEI v4 Land 00N-90N
  482. NCEI v4 Land 20N-90N
  483. NCEI v4 Land 20S-20N
  484. NCEI v4 Land 30N-60N
  485. NCEI v4 Land + Ocean 60N-90N
  486. NCEI v4 Land + Ocean 60S-30S
  487. NCEI v4 Land + Ocean 60S-60N
  488. NCEI v4 Land + Ocean 90S-00N
  489. NCEI v4 Land + Ocean 90S-20S
  490. NCEI v4 Land 30S-00N
  491. NCEI v4 Land + Ocean 90S-60S
  492. NCEI v4 Land + Ocean 90S-90N
  493. NCEI v4 Ocean 00N-30N
  494. NCEI v4 Ocean 00N-90N
  495. NCEI v4 Ocean 20N-90N
  496. NCEI v4 Ocean 20S-20N
  497. NCEI v4 Ocean 30N-60N
  498. NCEI v4 Ocean 30S-00N
  499. NCEI v4 Ocean 60N-90N
  500. NCEI v4 Ocean 60S-30S
  501. NCEI v4 Ocean 60S-60N
  502. NCEI v4 Ocean 90S-00N
  503. NCEI v4 Ocean 90S-20S
  504. NCEI v4 Ocean 90S-60S
  505. NCEI v4 Ocean 90S-90N
  506. NCEI v4 Land 60S-30S_uncertainty
  507. NCEI v4 Land 60N-90N_uncertainty
  508. NCEI v4 Land 60S-60N_uncertainty
  509. NCEI v4 Land 90S-00N_uncertainty
  510. NCEI v4 Land 90S-20S_uncertainty
  511. NCEI v4 Land 90S-60S_uncertainty
  512. NCEI v4 Land 90S-90N_uncertainty
  513. NCEI v4 Land + Ocean 00N-90N_uncertainty
  514. NCEI v4 Land + Ocean 00N-30N_uncertainty
  515. NCEI v4 Land + Ocean 20N-90N_uncertainty
  516. NCEI v4 Land + Ocean 20S-20N_uncertainty
  517. NCEI v4 Land + Ocean 30N-60N_uncertainty
  518. NCEI v4 Land + Ocean 30S-00N_uncertainty
  519. NCEI v4 Land 00N-30N_uncertainty
  520. NCEI v4 Land 00N-90N_uncertainty
  521. NCEI v4 Land 20N-90N_uncertainty
  522. NCEI v4 Land 20S-20N_uncertainty
  523. NCEI v4 Land 30N-60N_uncertainty
  524. NCEI v4 Land + Ocean 60N-90N_uncertainty
  525. NCEI v4 Land + Ocean 60S-30S_uncertainty
  526. NCEI v4 Land + Ocean 60S-60N_uncertainty
  527. NCEI v4 Land + Ocean 90S-00N_uncertainty
  528. NCEI v4 Land + Ocean 90S-20S_uncertainty
  529. NCEI v4 Land 30S-00N_uncertainty
  530. NCEI v4 Land + Ocean 90S-60S_uncertainty
  531. NCEI v4 Land + Ocean 90S-90N_uncertainty
  532. NCEI v4 Ocean 00N-30N_uncertainty
  533. NCEI v4 Ocean 00N-90N_uncertainty
  534. NCEI v4 Ocean 20N-90N_uncertainty
  535. NCEI v4 Ocean 20S-20N_uncertainty
  536. NCEI v4 Ocean 30N-60N_uncertainty
  537. NCEI v4 Ocean 30S-00N_uncertainty
  538. NCEI v4 Ocean 60N-90N_uncertainty
  539. NCEI v4 Ocean 60S-30S_uncertainty
  540. NCEI v4 Ocean 60S-60N_uncertainty
  541. NCEI v4 Ocean 90S-00N_uncertainty
  542. NCEI v4 Ocean 90S-20S_uncertainty
  543. NCEI v4 Ocean 90S-60S_uncertainty
  544. NCEI v4 Ocean 90S-90N_uncertainty
  545. NCEP/CFSR Surface Air Global
  546. NCEP/CFSR Surface Air Global Land
  547. NCEP/CFSR Surface Air Global Ocean
  548. NCEP/CFSR Surface Air NH
  549. NCEP/CFSR Surface Air NH Land
  550. NCEP/CFSR Surface Air NH Ocean
  551. NCEP/CFSR Surface Air NH Polar
  552. NCEP/CFSR Surface Air NH Polar Land
  553. NCEP/CFSR Surface Air NH Polar Ocean
  554. NCEP/CFSR Surface Air SH
  555. NCEP/CFSR Surface Air SH Land
  556. NCEP/CFSR Surface Air SH Ocean
  557. NCEP/CFSR Surface Air SH Polar
  558. NCEP/CFSR Surface Air SH Polar Land
  559. NCEP/CFSR Surface Air SH Polar Ocean
  560. NCEP/CFSR Surface Air Tropics
  561. NCEP/CFSR Surface Air Tropics Land
  562. NCEP/CFSR Surface Air Tropics Ocean
  563. NCEP/CFSR Surface Air USA 48
  564. NCEP/CFSR Surface Air USA 48 Land
  565. NCEP/CFSR Surface Air USA 48 Ocean
  566. NCEP/DOE R2 Sea Surface Global
  567. NCEP/DOE R2 Sea Surface NH
  568. NCEP/DOE R2 Sea Surface SH
  569. NCEP/DOE R2 Surface Air Global
  570. NCEP/DOE R2 Surface Air Global Land
  571. NCEP/DOE R2 Surface Air Global Ocean
  572. NCEP/DOE R2 Surface Air NH
  573. NCEP/DOE R2 Surface Air NH Land
  574. NCEP/DOE R2 Surface Air NH Ocean
  575. NCEP/DOE R2 Surface Air NH Polar
  576. NCEP/DOE R2 Surface Air NH Polar Land
  577. NCEP/DOE R2 Surface Air NH Polar Ocean
  578. NCEP/DOE R2 Surface Air SH
  579. NCEP/DOE R2 Surface Air SH Land
  580. NCEP/DOE R2 Surface Air SH Ocean
  581. NCEP/DOE R2 Surface Air SH Polar
  582. NCEP/DOE R2 Surface Air SH Polar Land
  583. NCEP/DOE R2 Surface Air SH Polar Ocean
  584. NCEP/DOE R2 Surface Air Tropics
  585. NCEP/DOE R2 Surface Air Tropics Land
  586. NCEP/DOE R2 Surface Air Tropics Ocean
  587. NCEP/DOE R2 Surface Air USA 48
  588. NCEP/DOE R2 Surface Air USA 48 Land
  589. NCEP/DOE R2 Surface Air USA 48 Ocean
  590. NCEP/NCAR R1 Sea Surface Global
  591. NCEP/NCAR R1 Sea Surface NH
  592. NCEP/NCAR R1 Sea Surface SH
  593. NCEP/NCAR R1 Surface Air Global
  594. NCEP/NCAR R1 Surface Air Global Land
  595. NCEP/NCAR R1 Surface Air Global Ocean
  596. NCEP/NCAR R1 Surface Air NH
  597. NCEP/NCAR R1 Surface Air NH Land
  598. NCEP/NCAR R1 Surface Air NH Ocean
  599. NCEP/NCAR R1 Surface Air NH Polar
  600. NCEP/NCAR R1 Surface Air NH Polar Land
  601. NCEP/NCAR R1 Surface Air NH Polar Ocean
  602. NCEP/NCAR R1 Surface Air SH
  603. NCEP/NCAR R1 Surface Air SH Land
  604. NCEP/NCAR R1 Surface Air SH Ocean
  605. NCEP/NCAR R1 Surface Air SH Polar
  606. NCEP/NCAR R1 Surface Air SH Polar Land
  607. NCEP/NCAR R1 Surface Air SH Polar Ocean
  608. NCEP/NCAR R1 Surface Air Tropics
  609. NCEP/NCAR R1 Surface Air Tropics Land
  610. NCEP/NCAR R1 Surface Air Tropics Ocean
  611. NCEP/NCAR R1 Surface Air USA 48
  612. NCEP/NCAR R1 Surface Air USA 48 Land
  613. NCEP/NCAR R1 Surface Air USA 48 Ocean
  614. NOAA Global Mean Sea Level
  615. NOAA Sunspot No.
  616. NSIDC Sea Ice NH Extent
  617. NSIDC Sea Ice NH Area
  618. NSIDC Sea Ice SH Extent
  619. NSIDC Sea Ice SH Area
  620. NSIDC Sea Ice Global Extent
  621. NSIDC Sea Ice Global Area
  622. Ocean Mass Variation
  623. Ocean Mass Variation_uncertainty
  624. EUMETSAT OSI Barents Sea Sea Ice Area
  625. EUMETSAT OSI Barents Sea Sea Ice Extent
  626. EUMETSAT OSI Beaufort Sea Sea Ice Area
  627. EUMETSAT OSI Beaufort Sea Sea Ice Extent
  628. EUMETSAT OSI Amundsen-Bellingshausen Sea Ice Area
  629. EUMETSAT OSI Amundsen-Bellingshausen Sea Ice Extent
  630. EUMETSAT OSI Chukchi Sea Sea Ice Area
  631. EUMETSAT OSI Chukchi Sea Sea Ice Extent
  632. EUMETSAT OSI Dronning Maud Land Sea Ice Area
  633. EUMETSAT OSI Dronning Maud Land Sea Ice Extent
  634. EUMETSAT OSI East Siberian Sea Sea Ice Area
  635. EUMETSAT OSI East Siberian Sea Sea Ice Extent
  636. EUMETSAT OSI Fram Strait Sea Ice Area
  637. EUMETSAT OSI Fram Strait Sea Ice Extent
  638. EUMETSAT OSI Global Sea Ice Area
  639. EUMETSAT OSI Global Sea Ice Extent
  640. EUMETSAT OSI Indian Ocean Sea Ice Area
  641. EUMETSAT OSI Indian Ocean Sea Ice Extent
  642. EUMETSAT OSI Kara Sea Sea Ice Area
  643. EUMETSAT OSI Kara Sea Sea Ice Extent
  644. EUMETSAT OSI Laptev Sea Sea Ice Area
  645. EUMETSAT OSI Laptev Sea Sea Ice Extent
  646. EUMETSAT OSI Northern Barents Sea Sea Ice Area
  647. EUMETSAT OSI Northern Barents Sea Sea Ice Extent
  648. EUMETSAT OSI Northern Hemisphere Sea Ice Area
  649. EUMETSAT OSI Northern Hemisphere Sea Ice Extent
  650. EUMETSAT OSI Ross Sea Sea Ice Area
  651. EUMETSAT OSI Ross Sea Sea Ice Extent
  652. EUMETSAT OSI Southern Hemisphere Sea Ice Area
  653. EUMETSAT OSI Southern Hemisphere Sea Ice Extent
  654. EUMETSAT OSI Svalbard Sea Ice Area
  655. EUMETSAT OSI Svalbard Sea Ice Extent
  656. EUMETSAT OSI Troll Station Sea Ice Area
  657. EUMETSAT OSI Troll Station Sea Ice Extent
  658. EUMETSAT OSI Weddell Sea Sea Ice Area
  659. EUMETSAT OSI Weddell Sea Sea Ice Extent
  660. EUMETSAT OSI Western Pacific Ocean Sea Ice Area
  661. EUMETSAT OSI Western Pacific Ocean Sea Ice Extent
  662. OSIRIS Stratospheric Aerosol Optical Depth (550 nm) Global
  663. OSIRIS Stratospheric Aerosol Optical Depth (550 nm) NH
  664. OSIRIS Stratospheric Aerosol Optical Depth (550 nm) SH
  665. PIOMAS Arctic Sea Ice Volume
  666. PMOD TSI VIRGO A (orig.)
  667. PMOD TSI VIRGO A+B (orig.)
  668. PMOD TSI VIRGO A (new)
  669. PMOD TSI VIRGO A+B (new)
  670. PMOD TSI VIRGO A+B (orig.)_uncertainty
  671. RATPAC-A Surface NH
  672. RATPAC-A 850 mb NH
  673. RATPAC-A 700 mb NH
  674. RATPAC-A 500 mb NH
  675. RATPAC-A 400 mb NH
  676. RATPAC-A 300 mb NH
  677. RATPAC-A 250 mb NH
  678. RATPAC-A 200 mb NH
  679. RATPAC-A 150 mb NH
  680. RATPAC-A 100 mb NH
  681. RATPAC-A 70 mb NH
  682. RATPAC-A 50 mb NH
  683. RATPAC-A 30 mb NH
  684. RATPAC-A Surface SH
  685. RATPAC-A 850 mb SH
  686. RATPAC-A 700 mb SH
  687. RATPAC-A 500 mb SH
  688. RATPAC-A 400 mb SH
  689. RATPAC-A 300 mb SH
  690. RATPAC-A 250 mb SH
  691. RATPAC-A 200 mb SH
  692. RATPAC-A 150 mb SH
  693. RATPAC-A 100 mb SH
  694. RATPAC-A 70 mb SH
  695. RATPAC-A 50 mb SH
  696. RATPAC-A 30 mb SH
  697. RATPAC-A Surface GLOBE
  698. RATPAC-A 850 mb GLOBE
  699. RATPAC-A 700 mb GLOBE
  700. RATPAC-A 500 mb GLOBE
  701. RATPAC-A 400 mb GLOBE
  702. RATPAC-A 300 mb GLOBE
  703. RATPAC-A 250 mb GLOBE
  704. RATPAC-A 200 mb GLOBE
  705. RATPAC-A 150 mb GLOBE
  706. RATPAC-A 100 mb GLOBE
  707. RATPAC-A 70 mb GLOBE
  708. RATPAC-A 50 mb GLOBE
  709. RATPAC-A 30 mb GLOBE
  710. RATPAC-A Surface TROPICS (30S-30N)
  711. RATPAC-A 850 mb TROPICS (30S-30N)
  712. RATPAC-A 700 mb TROPICS (30S-30N)
  713. RATPAC-A 500 mb TROPICS (30S-30N)
  714. RATPAC-A 400 mb TROPICS (30S-30N)
  715. RATPAC-A 300 mb TROPICS (30S-30N)
  716. RATPAC-A 250 mb TROPICS (30S-30N)
  717. RATPAC-A 200 mb TROPICS (30S-30N)
  718. RATPAC-A 150 mb TROPICS (30S-30N)
  719. RATPAC-A 100 mb TROPICS (30S-30N)
  720. RATPAC-A 70 mb TROPICS (30S-30N)
  721. RATPAC-A 50 mb TROPICS (30S-30N)
  722. RATPAC-A 30 mb TROPICS (30S-30N)
  723. RATPAC-A Surface NH Extratropics
  724. RATPAC-A 850 mb NH Extratropics
  725. RATPAC-A 700 mb NH Extratropics
  726. RATPAC-A 500 mb NH Extratropics
  727. RATPAC-A 400 mb NH Extratropics
  728. RATPAC-A 300 mb NH Extratropics
  729. RATPAC-A 250 mb NH Extratropics
  730. RATPAC-A 200 mb NH Extratropics
  731. RATPAC-A 150 mb NH Extratropics
  732. RATPAC-A 100 mb NH Extratropics
  733. RATPAC-A 70 mb NH Extratropics
  734. RATPAC-A 50 mb NH Extratropics
  735. RATPAC-A 30 mb NH Extratropics
  736. RATPAC-A Surface SH Extratropics
  737. RATPAC-A 850 mb SH Extratropics
  738. RATPAC-A 700 mb SH Extratropics
  739. RATPAC-A 500 mb SH Extratropics
  740. RATPAC-A 400 mb SH Extratropics
  741. RATPAC-A 300 mb SH Extratropics
  742. RATPAC-A 250 mb SH Extratropics
  743. RATPAC-A 200 mb SH Extratropics
  744. RATPAC-A 150 mb SH Extratropics
  745. RATPAC-A 100 mb SH Extratropics
  746. RATPAC-A 70 mb SH Extratropics
  747. RATPAC-A 50 mb SH Extratropics
  748. RATPAC-A 30 mb SH Extratropics
  749. RATPAC-A Surface TROPICS (20S-20N)
  750. RATPAC-A 850 mb TROPICS (20S-20N)
  751. RATPAC-A 700 mb TROPICS (20S-20N)
  752. RATPAC-A 500 mb TROPICS (20S-20N)
  753. RATPAC-A 400 mb TROPICS (20S-20N)
  754. RATPAC-A 300 mb TROPICS (20S-20N)
  755. RATPAC-A 250 mb TROPICS (20S-20N)
  756. RATPAC-A 200 mb TROPICS (20S-20N)
  757. RATPAC-A 150 mb TROPICS (20S-20N)
  758. RATPAC-A 100 mb TROPICS (20S-20N)
  759. RATPAC-A 70 mb TROPICS (20S-20N)
  760. RATPAC-A 50 mb TROPICS (20S-20N)
  761. RATPAC-A 30 mb TROPICS (20S-20N)
  762. RATPAC-A 850-300 mb NH
  763. RATPAC-A 850-300 mb SH
  764. RATPAC-A 850-300 mb Global
  765. RATPAC-A 850-300 mb Tropics
  766. RATPAC-A 850-300 mb NH Extratropics
  767. RATPAC-A 850-300 mb SH Extratropics
  768. RATPAC-A 850-300 mb 20N-S
  769. RATPAC-A 300-100 mb NH
  770. RATPAC-A 300-100 mb SH
  771. RATPAC-A 300-100 mb Global
  772. RATPAC-A 300-100 mb Tropics
  773. RATPAC-A 300-100 mb NH Extratropics
  774. RATPAC-A 300-100 mb SH Extratropics
  775. RATPAC-A 300-100 mb 20N-S
  776. RATPAC-A 100-50 mb NH
  777. RATPAC-A 100-50 mb SH
  778. RATPAC-A 100-50 mb Global
  779. RATPAC-A 100-50 mb Tropics
  780. RATPAC-A 100-50 mb NH Extratropics
  781. RATPAC-A 100-50 mb SH Extratropics
  782. RATPAC-A 100-50 mb 20N-S
  783. RSS TLS 3.3 -82.5/82.5
  784. RSS TLS 3.3 -20.0/20.0
  785. RSS TLS 3.3 20.0/82.5
  786. RSS TLS 3.3 -82.5/-20.0
  787. RSS TLS 3.3 60.0/82.5
  788. RSS TLS 3.3 -82.5/-60.0
  789. RSS TLS 3.3 Cont. USA
  790. RSS TLS 3.3 0.0/82.5
  791. RSS TLS 3.3 -82.5/0.0
  792. RSS TLS 3.3 Land -82.5/82.5
  793. RSS TLS 3.3 Land -20.0/20.0
  794. RSS TLS 3.3 Land 20.0/82.5
  795. RSS TLS 3.3 Land -82.5/-20.0
  796. RSS TLS 3.3 Land 60.0/82.5
  797. RSS TLS 3.3 Land -82.5/-60.0
  798. RSS TLS 3.3 Ocean -82.5/82.5
  799. RSS TLS 3.3 Ocean -20.0/20.0
  800. RSS TLS 3.3 Ocean 20.0/82.5
  801. RSS TLS 3.3 Ocean -82.5/-20.0
  802. RSS TLS 3.3 Ocean 60.0/82.5
  803. RSS TLS 3.3 Ocean -82.5/-60.0
  804. RSS TLS 4.0 -82.5/82.5
  805. RSS TLS 4.0 -20.0/20.0
  806. RSS TLS 4.0 20.0/82.5
  807. RSS TLS 4.0 -82.5/-20.0
  808. RSS TLS 4.0 60.0/82.5
  809. RSS TLS 4.0 -82.5/-60.0
  810. RSS TLS 4.0 Cont. USA
  811. RSS TLS 4.0 0.0/82.5
  812. RSS TLS 4.0 -82.5/0.0
  813. RSS TLS 4.0 Land -82.5/82.5
  814. RSS TLS 4.0 Land -20.0/20.0
  815. RSS TLS 4.0 Land 20.0/82.5
  816. RSS TLS 4.0 Land -82.5/-20.0
  817. RSS TLS 4.0 Land 60.0/82.5
  818. RSS TLS 4.0 Land -82.5/-60.0
  819. RSS TLS 4.0 Ocean -82.5/82.5
  820. RSS TLS 4.0 Ocean -20.0/20.0
  821. RSS TLS 4.0 Ocean 20.0/82.5
  822. RSS TLS 4.0 Ocean -82.5/-20.0
  823. RSS TLS 4.0 Ocean 60.0/82.5
  824. RSS TLS 4.0 Ocean -82.5/-60.0
  825. RSS TLT 3.3 -70.0/82.5
  826. RSS TLT 3.3 -20.0/20.0
  827. RSS TLT 3.3 20.0/82.5
  828. RSS TLT 3.3 -70.0/-20.0
  829. RSS TLT 3.3 60.0/82.5
  830. RSS TLT 3.3 -70.0/-60.0
  831. RSS TLT 3.3 Cont. USA
  832. RSS TLT 3.3 0.0/82.5
  833. RSS TLT 3.3 -70.0/0.0
  834. RSS TLT 3.3 Land -70.0/82.5
  835. RSS TLT 3.3 Land -20.0/20.0
  836. RSS TLT 3.3 Land 20.0/82.5
  837. RSS TLT 3.3 Land -70.0/-20.0
  838. RSS TLT 3.3 Land 60.0/82.5
  839. RSS TLT 3.3 Land -70.0/-60.0
  840. RSS TLT 3.3 Ocean -70.0/82.5
  841. RSS TLT 3.3 Ocean -20.0/20.0
  842. RSS TLT 3.3 Ocean 20.0/82.5
  843. RSS TLT 3.3 Ocean -70.0/-20.0
  844. RSS TLT 3.3 Ocean 60.0/82.5
  845. RSS TLT 3.3 Ocean -70.0/-60.0
  846. RSS TLT 4.0 -70.0/82.5
  847. RSS TLT 4.0 -20.0/20.0
  848. RSS TLT 4.0 20.0/82.5
  849. RSS TLT 4.0 -70.0/-20.0
  850. RSS TLT 4.0 60.0/82.5
  851. RSS TLT 4.0 -70.0/-60.0
  852. RSS TLT 4.0 Cont. USA
  853. RSS TLT 4.0 0.0/82.5
  854. RSS TLT 4.0 -70.0/0.0
  855. RSS TLT 4.0 Land -70.0/82.5
  856. RSS TLT 4.0 Land -20.0/20.0
  857. RSS TLT 4.0 Land 20.0/82.5
  858. RSS TLT 4.0 Land -70.0/-20.0
  859. RSS TLT 4.0 Land 60.0/82.5
  860. RSS TLT 4.0 Land -70.0/-60.0
  861. RSS TLT 4.0 Ocean -70.0/82.5
  862. RSS TLT 4.0 Ocean -20.0/20.0
  863. RSS TLT 4.0 Ocean 20.0/82.5
  864. RSS TLT 4.0 Ocean -70.0/-20.0
  865. RSS TLT 4.0 Ocean 60.0/82.5
  866. RSS TLT 4.0 Ocean -70.0/-60.0
  867. RSS TMT 3.3 -82.5/82.5
  868. RSS TMT 3.3 -20.0/20.0
  869. RSS TMT 3.3 20.0/82.5
  870. RSS TMT 3.3 -82.5/-20.0
  871. RSS TMT 3.3 60.0/82.5
  872. RSS TMT 3.3 -82.5/-60.0
  873. RSS TMT 3.3 Cont. USA
  874. RSS TMT 3.3 0.0/82.5
  875. RSS TMT 3.3 -82.5/0.0
  876. RSS TMT 3.3 Land -82.5/82.5
  877. RSS TMT 3.3 Land -20.0/20.0
  878. RSS TMT 3.3 Land 20.0/82.5
  879. RSS TMT 3.3 Land -82.5/-20.0
  880. RSS TMT 3.3 Land 60.0/82.5
  881. RSS TMT 3.3 Land -82.5/-60.0
  882. RSS TMT 3.3 Ocean -82.5/82.5
  883. RSS TMT 3.3 Ocean -20.0/20.0
  884. RSS TMT 3.3 Ocean 20.0/82.5
  885. RSS TMT 3.3 Ocean -82.5/-20.0
  886. RSS TMT 3.3 Ocean 60.0/82.5
  887. RSS TMT 3.3 Ocean -82.5/-60.0
  888. RSS TMT 4.0 -82.5/82.5
  889. RSS TMT 4.0 -20.0/20.0
  890. RSS TMT 4.0 20.0/82.5
  891. RSS TMT 4.0 -82.5/-20.0
  892. RSS TMT 4.0 60.0/82.5
  893. RSS TMT 4.0 -82.5/-60.0
  894. RSS TMT 4.0 Cont. USA
  895. RSS TMT 4.0 0.0/82.5
  896. RSS TMT 4.0 -82.5/0.0
  897. RSS TMT 4.0 Land -82.5/82.5
  898. RSS TMT 4.0 Land -20.0/20.0
  899. RSS TMT 4.0 Land 20.0/82.5
  900. RSS TMT 4.0 Land -82.5/-20.0
  901. RSS TMT 4.0 Land 60.0/82.5
  902. RSS TMT 4.0 Land -82.5/-60.0
  903. RSS TMT 4.0 Ocean -82.5/82.5
  904. RSS TMT 4.0 Ocean -20.0/20.0
  905. RSS TMT 4.0 Ocean 20.0/82.5
  906. RSS TMT 4.0 Ocean -82.5/-20.0
  907. RSS TMT 4.0 Ocean 60.0/82.5
  908. RSS TMT 4.0 Ocean -82.5/-60.0
  909. RSS TTS 3.3 -82.5/82.5
  910. RSS TTS 3.3 -20.0/20.0
  911. RSS TTS 3.3 20.0/82.5
  912. RSS TTS 3.3 -82.5/-20.0
  913. RSS TTS 3.3 60.0/82.5
  914. RSS TTS 3.3 -82.5/-60.0
  915. RSS TTS 3.3 Cont. USA
  916. RSS TTS 3.3 0.0/82.5
  917. RSS TTS 3.3 -82.5/0.0
  918. RSS TTS 3.3 Land -82.5/82.5
  919. RSS TTS 3.3 Land -20.0/20.0
  920. RSS TTS 3.3 Land 20.0/82.5
  921. RSS TTS 3.3 Land -82.5/-20.0
  922. RSS TTS 3.3 Land 60.0/82.5
  923. RSS TTS 3.3 Land -82.5/-60.0
  924. RSS TTS 3.3 Ocean -82.5/82.5
  925. RSS TTS 3.3 Ocean -20.0/20.0
  926. RSS TTS 3.3 Ocean 20.0/82.5
  927. RSS TTS 3.3 Ocean -82.5/-20.0
  928. RSS TTS 3.3 Ocean 60.0/82.5
  929. RSS TTS 3.3 Ocean -82.5/-60.0
  930. RSS TTS 4.0 -82.5/82.5
  931. RSS TTS 4.0 -20.0/20.0
  932. RSS TTS 4.0 20.0/82.5
  933. RSS TTS 4.0 -82.5/-20.0
  934. RSS TTS 4.0 60.0/82.5
  935. RSS TTS 4.0 -82.5/-60.0
  936. RSS TTS 4.0 Cont. USA
  937. RSS TTS 4.0 0.0/82.5
  938. RSS TTS 4.0 -82.5/0.0
  939. RSS TTS 4.0 Land -82.5/82.5
  940. RSS TTS 4.0 Land -20.0/20.0
  941. RSS TTS 4.0 Land 20.0/82.5
  942. RSS TTS 4.0 Land -82.5/-20.0
  943. RSS TTS 4.0 Land 60.0/82.5
  944. RSS TTS 4.0 Land -82.5/-60.0
  945. RSS TTS 4.0 Ocean -82.5/82.5
  946. RSS TTS 4.0 Ocean -20.0/20.0
  947. RSS TTS 4.0 Ocean 20.0/82.5
  948. RSS TTS 4.0 Ocean -82.5/-20.0
  949. RSS TTS 4.0 Ocean 60.0/82.5
  950. RSS TTS 4.0 Ocean -82.5/-60.0
  951. RSS TTT 3.3 -82.5/82.5
  952. RSS TTT 3.3 -20.0/20.0
  953. RSS TTT 3.3 20.0/82.5
  954. RSS TTT 3.3 -82.5/-20.0
  955. RSS TTT 3.3 60.0/82.5
  956. RSS TTT 3.3 -82.5/-60.0
  957. RSS TTT 3.3 Cont. USA
  958. RSS TTT 3.3 0.0/82.5
  959. RSS TTT 3.3 -82.5/0.0
  960. RSS TTT 3.3 Land -82.5/82.5
  961. RSS TTT 3.3 Land -20.0/20.0
  962. RSS TTT 3.3 Land 20.0/82.5
  963. RSS TTT 3.3 Land -82.5/-20.0
  964. RSS TTT 3.3 Land 60.0/82.5
  965. RSS TTT 3.3 Land -82.5/-60.0
  966. RSS TTT 3.3 Ocean -82.5/82.5
  967. RSS TTT 3.3 Ocean -20.0/20.0
  968. RSS TTT 3.3 Ocean 20.0/82.5
  969. RSS TTT 3.3 Ocean -82.5/-20.0
  970. RSS TTT 3.3 Ocean 60.0/82.5
  971. RSS TTT 3.3 Ocean -82.5/-60.0
  972. RSS TTT 4.0 -82.5/82.5
  973. RSS TTT 4.0 -20.0/20.0
  974. RSS TTT 4.0 20.0/82.5
  975. RSS TTT 4.0 -82.5/-20.0
  976. RSS TTT 4.0 60.0/82.5
  977. RSS TTT 4.0 -82.5/-60.0
  978. RSS TTT 4.0 Cont. USA
  979. RSS TTT 4.0 0.0/82.5
  980. RSS TTT 4.0 -82.5/0.0
  981. RSS TTT 4.0 Land -82.5/82.5
  982. RSS TTT 4.0 Land -20.0/20.0
  983. RSS TTT 4.0 Land 20.0/82.5
  984. RSS TTT 4.0 Land -82.5/-20.0
  985. RSS TTT 4.0 Land 60.0/82.5
  986. RSS TTT 4.0 Land -82.5/-60.0
  987. RSS TTT 4.0 Ocean -82.5/82.5
  988. RSS TTT 4.0 Ocean -20.0/20.0
  989. RSS TTT 4.0 Ocean 20.0/82.5
  990. RSS TTT 4.0 Ocean -82.5/-20.0
  991. RSS TTT 4.0 Ocean 60.0/82.5
  992. RSS TTT 4.0 Ocean -82.5/-60.0
  993. Rutgers Eurasia Snow Cover
  994. Rutgers N. America (No Greenland) Snow Cover
  995. Rutgers N. America Snow Cover
  996. Rutgers NH Snow Cover
  997. STAR v5.0 TLS Global Mean
  998. STAR v5.0 TLS NH
  999. STAR v5.0 TLS SH
  1000. STAR v5.0 TLS Global Land
  1001. STAR v5.0 TLS Global Ocean
  1002. STAR v5.0 TLT Global Mean
  1003. STAR v5.0 TLT NH
  1004. STAR v5.0 TLT SH
  1005. STAR v5.0 TLT Global Land
  1006. STAR v5.0 TLT Global Ocean
  1007. STAR v5.0 TMT Global Mean
  1008. STAR v5.0 TMT NH
  1009. STAR v5.0 TMT SH
  1010. STAR v5.0 TMT Global Land
  1011. STAR v5.0 TMT Global Ocean
  1012. STAR v5.0 TUT Global Mean
  1013. STAR v5.0 TUT NH
  1014. STAR v5.0 TUT SH
  1015. STAR v5.0 TUT Global Land
  1016. STAR v5.0 TUT Global Ocean
  1017. STAR v5.0 TTT Global Mean
  1018. STAR v5.0 TTT NH
  1019. STAR v5.0 TTT SH
  1020. STAR v5.0 TTT Global Land
  1021. STAR v5.0 TTT Global Ocean
  1022. TSI Reconstructed
  1023. UAH TLS 5.6 Global
  1024. UAH TLS 5.6 Global Land
  1025. UAH TLS 5.6 Global Ocean
  1026. UAH TLS 5.6 NH
  1027. UAH TLS 5.6 NH Land
  1028. UAH TLS 5.6 NH Ocean
  1029. UAH TLS 5.6 SH
  1030. UAH TLS 5.6 SH Land
  1031. UAH TLS 5.6 SH Ocean
  1032. UAH TLS 5.6 Tropics
  1033. UAH TLS 5.6 Tropics Land
  1034. UAH TLS 5.6 Tropics Ocean
  1035. UAH TLS 5.6 NH Extratropics
  1036. UAH TLS 5.6 NH Extratropics Land
  1037. UAH TLS 5.6 NH Extratropics Ocean
  1038. UAH TLS 5.6 SH Extratropics
  1039. UAH TLS 5.6 SH Extratropics Land
  1040. UAH TLS 5.6 SH Extratropics Ocean
  1041. UAH TLS 5.6 NH Polar
  1042. UAH TLS 5.6 NH Polar Land
  1043. UAH TLS 5.6 NH Polar Ocean
  1044. UAH TLS 5.6 SH Polar
  1045. UAH TLS 5.6 SH Polar Land
  1046. UAH TLS 5.6 SH Polar Ocean
  1047. UAH TLS 5.6 USA 48
  1048. UAH TLS 5.6 USA 48 + Alaska
  1049. UAH TLS 5.6 Australia
  1050. UAH TLS 6.0 Global
  1051. UAH TLS 6.0 Global Land
  1052. UAH TLS 6.0 Global Ocean
  1053. UAH TLS 6.0 NH
  1054. UAH TLS 6.0 NH Land
  1055. UAH TLS 6.0 NH Ocean
  1056. UAH TLS 6.0 SH
  1057. UAH TLS 6.0 SH Land
  1058. UAH TLS 6.0 SH Ocean
  1059. UAH TLS 6.0 Tropics
  1060. UAH TLS 6.0 Tropics Land
  1061. UAH TLS 6.0 Tropics Ocean
  1062. UAH TLS 6.0 NH Extratropics
  1063. UAH TLS 6.0 NH Extratropics Land
  1064. UAH TLS 6.0 NH Extratropics Ocean
  1065. UAH TLS 6.0 SH Extratropics
  1066. UAH TLS 6.0 SH Extratropics Land
  1067. UAH TLS 6.0 SH Extratropics Ocean
  1068. UAH TLS 6.0 NH Polar
  1069. UAH TLS 6.0 NH Polar Land
  1070. UAH TLS 6.0 NH Polar Ocean
  1071. UAH TLS 6.0 SH Polar
  1072. UAH TLS 6.0 SH Polar Land
  1073. UAH TLS 6.0 SH Polar Ocean
  1074. UAH TLS 6.0 USA 48
  1075. UAH TLS 6.0 USA 48 + Alaska
  1076. UAH TLS 6.0 Australia
  1077. UAH TLT 5.6 Global
  1078. UAH TLT 5.6 Global Land
  1079. UAH TLT 5.6 Global Ocean
  1080. UAH TLT 5.6 NH
  1081. UAH TLT 5.6 NH Land
  1082. UAH TLT 5.6 NH Ocean
  1083. UAH TLT 5.6 SH
  1084. UAH TLT 5.6 SH Land
  1085. UAH TLT 5.6 SH Ocean
  1086. UAH TLT 5.6 Tropics
  1087. UAH TLT 5.6 Tropics Land
  1088. UAH TLT 5.6 Tropics Ocean
  1089. UAH TLT 5.6 NH Extratropics
  1090. UAH TLT 5.6 NH Extratropics Land
  1091. UAH TLT 5.6 NH Extratropics Ocean
  1092. UAH TLT 5.6 SH Extratropics
  1093. UAH TLT 5.6 SH Extratropics Land
  1094. UAH TLT 5.6 SH Extratropics Ocean
  1095. UAH TLT 5.6 NH Polar
  1096. UAH TLT 5.6 NH Polar Land
  1097. UAH TLT 5.6 NH Polar Ocean
  1098. UAH TLT 5.6 SH Polar
  1099. UAH TLT 5.6 SH Polar Land
  1100. UAH TLT 5.6 SH Polar Ocean
  1101. UAH TLT 5.6 USA 48
  1102. UAH TLT 5.6 USA 48 + Alaska
  1103. UAH TLT 5.6 Australia
  1104. UAH TLT 6.0 Global
  1105. UAH TLT 6.0 Global Land
  1106. UAH TLT 6.0 Global Ocean
  1107. UAH TLT 6.0 NH
  1108. UAH TLT 6.0 NH Land
  1109. UAH TLT 6.0 NH Ocean
  1110. UAH TLT 6.0 SH
  1111. UAH TLT 6.0 SH Land
  1112. UAH TLT 6.0 SH Ocean
  1113. UAH TLT 6.0 Tropics
  1114. UAH TLT 6.0 Tropics Land
  1115. UAH TLT 6.0 Tropics Ocean
  1116. UAH TLT 6.0 NH Extratropics
  1117. UAH TLT 6.0 NH Extratropics Land
  1118. UAH TLT 6.0 NH Extratropics Ocean
  1119. UAH TLT 6.0 SH Extratropics
  1120. UAH TLT 6.0 SH Extratropics Land
  1121. UAH TLT 6.0 SH Extratropics Ocean
  1122. UAH TLT 6.0 NH Polar
  1123. UAH TLT 6.0 NH Polar Land
  1124. UAH TLT 6.0 NH Polar Ocean
  1125. UAH TLT 6.0 SH Polar
  1126. UAH TLT 6.0 SH Polar Land
  1127. UAH TLT 6.0 SH Polar Ocean
  1128. UAH TLT 6.0 USA 48
  1129. UAH TLT 6.0 USA 48 + Alaska
  1130. UAH TLT 6.0 Australia
  1131. UAH TMT 5.6 Global
  1132. UAH TMT 5.6 Global Land
  1133. UAH TMT 5.6 Global Ocean
  1134. UAH TMT 5.6 NH
  1135. UAH TMT 5.6 NH Land
  1136. UAH TMT 5.6 NH Ocean
  1137. UAH TMT 5.6 SH
  1138. UAH TMT 5.6 SH Land
  1139. UAH TMT 5.6 SH Ocean
  1140. UAH TMT 5.6 Tropics
  1141. UAH TMT 5.6 Tropics Land
  1142. UAH TMT 5.6 Tropics Ocean
  1143. UAH TMT 5.6 NH Extratropics
  1144. UAH TMT 5.6 NH Extratropics Land
  1145. UAH TMT 5.6 NH Extratropics Ocean
  1146. UAH TMT 5.6 SH Extratropics
  1147. UAH TMT 5.6 SH Extratropics Land
  1148. UAH TMT 5.6 SH Extratropics Ocean
  1149. UAH TMT 5.6 NH Polar
  1150. UAH TMT 5.6 NH Polar Land
  1151. UAH TMT 5.6 NH Polar Ocean
  1152. UAH TMT 5.6 SH Polar
  1153. UAH TMT 5.6 SH Polar Land
  1154. UAH TMT 5.6 SH Polar Ocean
  1155. UAH TMT 5.6 USA 48
  1156. UAH TMT 5.6 USA 48 + Alaska
  1157. UAH TMT 5.6 Australia
  1158. UAH TMT 6.0 Global
  1159. UAH TMT 6.0 Global Land
  1160. UAH TMT 6.0 Global Ocean
  1161. UAH TMT 6.0 NH
  1162. UAH TMT 6.0 NH Land
  1163. UAH TMT 6.0 NH Ocean
  1164. UAH TMT 6.0 SH
  1165. UAH TMT 6.0 SH Land
  1166. UAH TMT 6.0 SH Ocean
  1167. UAH TMT 6.0 Tropics
  1168. UAH TMT 6.0 Tropics Land
  1169. UAH TMT 6.0 Tropics Ocean
  1170. UAH TMT 6.0 NH Extratropics
  1171. UAH TMT 6.0 NH Extratropics Land
  1172. UAH TMT 6.0 NH Extratropics Ocean
  1173. UAH TMT 6.0 SH Extratropics
  1174. UAH TMT 6.0 SH Extratropics Land
  1175. UAH TMT 6.0 SH Extratropics Ocean
  1176. UAH TMT 6.0 NH Polar
  1177. UAH TMT 6.0 NH Polar Land
  1178. UAH TMT 6.0 NH Polar Ocean
  1179. UAH TMT 6.0 SH Polar
  1180. UAH TMT 6.0 SH Polar Land
  1181. UAH TMT 6.0 SH Polar Ocean
  1182. UAH TMT 6.0 USA 48
  1183. UAH TMT 6.0 USA 48 + Alaska
  1184. UAH TMT 6.0 Australia
  1185. UAH TTP 6.0 Global
  1186. UAH TTP 6.0 Global Land
  1187. UAH TTP 6.0 Global Ocean
  1188. UAH TTP 6.0 NH
  1189. UAH TTP 6.0 NH Land
  1190. UAH TTP 6.0 NH Ocean
  1191. UAH TTP 6.0 SH
  1192. UAH TTP 6.0 SH Land
  1193. UAH TTP 6.0 SH Ocean
  1194. UAH TTP 6.0 Tropics
  1195. UAH TTP 6.0 Tropics Land
  1196. UAH TTP 6.0 Tropics Ocean
  1197. UAH TTP 6.0 NH Extratropics
  1198. UAH TTP 6.0 NH Extratropics Land
  1199. UAH TTP 6.0 NH Extratropics Ocean
  1200. UAH TTP 6.0 SH Extratropics
  1201. UAH TTP 6.0 SH Extratropics Land
  1202. UAH TTP 6.0 SH Extratropics Ocean
  1203. UAH TTP 6.0 NH Polar
  1204. UAH TTP 6.0 NH Polar Land
  1205. UAH TTP 6.0 NH Polar Ocean
  1206. UAH TTP 6.0 SH Polar
  1207. UAH TTP 6.0 SH Polar Land
  1208. UAH TTP 6.0 SH Polar Ocean
  1209. UAH TTP 6.0 USA 48
  1210. UAH TTP 6.0 USA 48 + Alaska
  1211. UAH TTP 6.0 Australia

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