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Found 924 dataset(s) matching "Monthly average temperature".
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M2TMNXSLV (or tavgM_2d_slv_Nx) is a time-averaged 2-dimensional monthly mean data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This...
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CER_FluxByCldTyp-Month_Terra-Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) Monthly Daytime Mean Regionally Averaged Terra and Aqua Top-of-Atmosphere (TOA) Fluxes...
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The Weather Generator Gridded Data consists of two products: [1] statistically perturbed gridded 100-year historic daily weather data including precipitation [in mm], and detrended maximum and...
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The dataset contains global monthly day-time land surface temperature averaged within 1 by 1 degree grid cells. The source for the data is MODIS/Terra MOD11C3 Collection 005 product (MODIS/Terra...
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The dataset contains global monthly night-time land surface temperature averaged within 1 by 1 degree grid cells. The source for the data is MODIS/Aqua MYD11C3 Collection 005 product (MODIS/Aqua...
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MODIS/Aqua Monthly mean Day-Time Land Surface Temperature at 1x1 degree V005 (MYD11CM1D) at GES DISC
The dataset contains global monthly day-time land surface temperature averaged within 1 by 1 degree grid cells. The source for the data is MODIS/Aqua MYD11C3 Collection 005 product (MODIS/Aqua...
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The dataset contains global monthly night-time land surface temperature averaged within 1 by 1 degree grid cells. The source for the data is MODIS/Terra MOD11C3 Collection 005 product (MODIS/Terra...
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Aquarius Level 3 ancillary sea surface temperature (SST) standard mapped image data are the ancillary SST data used in the Aquarius calibration for salinity retrieval. They are simply the daily...
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Aquarius Level 3 ancillary sea surface temperature (SST) standard mapped image data are the ancillary SST data used in the Aquarius calibration for salinity retrieval. They are simply the daily...
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Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset...
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Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset...
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Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset...
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Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset...
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Five principal components are used to represent the climate variation in an original set of 12 climate variables reflecting precipitation and temperature gradients. The dataset provides coverage...
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Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset...
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Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset...
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Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset...
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Five principal components are used to represent the climate variation in an original set of 12 climate variables reflecting precipitation and temperature gradients. The dataset provides coverage...
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Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset...
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<p>The National Forest Climate Change Maps project was developed by the Rocky Mountain Research Station (RMRS) and the Office of Sustainability and Climate to meet the needs of national forest...