NASA Prediction of Worldwide Energy Resources (POWER)

Tutorials

• About the Prediction Of Worldwide Energy Resources (POWER) Project ArcGIS StoryMap. by The POWER Project
  
• Accessing and Subsetting POWER data, from AWS S3 using Python. by The POWER Project
  

Tools & Applications

• NASA POWER NetCDF Data Download by The POWER Project
  
• POWER Application Programming Interface (API) by The POWER Project
  
• POWER Data Access Viewer (DAV) by The POWER Project
  

Publications

• A solar azimuth formula that renders circumstantial treatment unnecessary without compromising mathematical rigor: Mathematical setup, application and extension of a formula based on the subsolar point and atan2 function by Zhang, T., P. W. Stackhouse, B. Macpherson, and J. C. Mikovitz
  
• Application of a global-to-beam irradiance model to the NASA GEWEX SRB dataset: An extension of the NASA Surface meteorology and Solar Energy datasets by Zhang, T., P. W. Stackhouse, W. S. Chandler, and D. J. Westberg
  
• Application of Satellite Sensor Data and Models for Energy Management by Zell, E., J. Engel-Cox, R. Eckman, and P. Stackhouse
  
• Association between solar insolation and a history of suicide attempts in bipolar I disorder by Bauer M, et al., Stackhouse PW Jr., et al.
  
• CEOS contributions to informing energy management and policy decision making using space-based Earth observations by Eckman, R. S., and P. W. Stackhouse
  
• Enhancing Climate Resilience at NASA Centers: A Collaboration between Science and Stewardship by Rosenzweig, C., and Coauthors
  
• Evaluation of NASA satellite- and assimilation model-derived long-term daily temperature data over the continental US by White, J. W., G. Hoogenboom, P. W. Stackhouse, and J. M. Hoell
  
• Evaluation of Satellite-Based, Modeled-Derived Daily Solar Radiation Data for the Continental United States by White, J. W., G. Hoogenboom, P. W. Wilkens, P. W. Stackhouse, and J. M. Hoel
  
• Global Surface Solar Energy Anomalies Including El Nino and La Nina Years. by C. H., and Coauthors
  
• Modeling the potential for thermal concentrating solar power technologies by Zhang, Y., S. J. Smith, G. P. Kyle, and P. W. Stackhouse
  
• NASA Climatological Data for Renewable Energy Assessment by Chandler, W. S., C. H. Whitlock, and P. W. Stackhouse
  
• The Contribution of Solar Brightening to the US Maize Yield Trend by Tollenaar, T., J. Fridgen, P. Tyagi, P. W. Stackhouse Jr., and S. Kumudini
  
• Variations in seasonal solar insolation are associated with a history of suicide attempts in bipolar I disorder by Bauer, M., and Coauthors
  

Inter-mission Time Series of Land Ice Velocity and Elevation (ITS_LIVE)

Tutorials

• ITS_LIVE Point Data Access by Maria Liukis, Alex S. Gardner, Luis A. López, Mark Fahnestock, and Joseph H. Kennedy
  
  
• Using xarray to examine cloud-based glacier surface velocity data by Emma Marshall
  

Tools & Applications

• A serverless React-Leaflet website to plot and share ITS_LIVE data by Jacob Fahnestock
  
• Chad Greene's ITS_LIVE Matlab collection by Chad A. Greene
  
• ITS_LIVE Data Access API by NSIDC
  
• ITS_LIVE Data Access Portal by NSIDC
  
• ITS_LIVEpy: A Python client for ITS_LIVE glacier velocity data by Luis A. López and Mark Fahnestock
  
• ITS_LIVE_TOOL: A package designed to aid users working with the ITS_LIVE data by Victor Devaux-Chupin and Emma Marshall
  

Publications

• Antarctic calving loss rivals ice-shelf thinning by Greene, C.A., A.S. Gardner, N.-J. Schlegel, and A.D. Fraser
  
• Autonomous Repeat Image Feature Tracking (autoRIFT) and Its Application for Tracking Ice Displacement. Remote Sensing by Lei, Y., A.S. Gardner, and P. Agram
  
• Detecting seasonal ice dynamics in satellite images by Greene, C.A., A.S. Gardner, and L.C. Andrews
  
• Elevation change of the Antarctic Ice Sheet: 1985 to 2020 by Nilsson, J., A.S. Gardner, and F.S. Paolo
  
• Increased West Antarctic and unchanged East Antarctic ice discharge over the last 7 years by Gardner, A. S., G. Moholdt, T. Scambos, M. Fahnstock, S. Ligtenberg, M. van den Broeke, and J. Nilsson
  
• Processing methodology for the ITS_LIVE Sentinel-1 ice velocity products by Lei, Y., A.S. Gardner, and P. Agram
  
• Ubiquitous acceleration in Greenland Ice Sheet calving from 1985 to 2022 by Greene, C.A., A.S. Gardner, M. Wood, and J.K. Cuzzone
  
• Widespread slowdown in thinning rates of West Antarctic Ice Shelves by Paolo, F. S., A.S. Gardner, C.A. Greene, J. Nilsson, M.P. Schodlok, N.-J. Schlegel, and H.A. Fricker
  

MERRA-2 tavg1_2d_slv_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Single-Level Diagnostics 0.625 x 0.5 degree

Tutorials

• How to Access GES DISC Data Using Python by James Acker, Jerome Alfred, Helen Amos, Chris Battisto, Thomas Hearty, Alexis Hunzinger, Lena Iredell, Christoph Keller, Binita KC, Carlee Loeser, Ariana Louise, Kristan Morgan, Dieu My T. Nguyen, Dana Ostrenga, Xiaohua Pan, Kanan Patel, Brianna R. Pagán, Andrey Savtchenko, Elliot Sherman, Suhung Shen, Jian Su,Joseph Wysk, Rupesh Shrestha.
  
• How to Read and Plot NetCDF MERRA-2 Data in Python by James Acker, Jerome Alfred, Helen Amos, Chris Battisto, Thomas Hearty, Alexis Hunzinger, Lena Iredell, Christoph Keller, Binita KC, Carlee Loeser, Ariana Louise, Kristan Morgan, Dieu My T. Nguyen, Dana Ostrenga, Xiaohua Pan, Kanan Patel, Brianna R. Pagán, Andrey Savtchenko, Elliot Sherman, Suhung Shen, Jian Su,Joseph Wysk, Rupesh Shrestha.
  

Publications

• 2015b: MERRA-2: Initial Evaluation of the Climate by Bosilovich, M. G., S. Akella, L. Coy, R. Cullather, C. Draper, R. Gelaro, R. Kovach, Q.Liu, A. Molod, P. Norris, K. Wargan, W. Chao, R. Reichle, L. Takacs, Y. Vikhliaev, S. Bloom, A. Collow, S. Firth, G. Labow, G. Partyka, S. Pawson, O. Reale, S. D. Schubert, and M. Suarez
  
• A catchment-based approach to modeling land surface processes in a GCM, Part 1, Model Structure by Koster, R. D., M. J. Suarez, A. Ducharne, M. Stieglitz, and P. Kumar
  
• Assessment of MERRA-2 Land Surface Hydrology Estimates. by Reichle, R. H., C. S. Draper, Q. Liu, M. Girotto, S. P. P. Mahanama, R. D. Koster, and G. J. M. De Lannoy
  
• Data assimilation using incremental analysis updates by Bloom, S., L. Takacs, A. DaSilva, and D. Ledvina
  
• Design and implementation of components in the Earth System Modeling Framework by Collins, N., G. Theurich, C. DeLuca, M. Suarez, A. Trayanov, V. Balaji, P. Li, W. Yang, C. Hill, and A. da Silva
  
• Development of the GEOS-5 atmospheric general circulation model: evolution from MERRA to MERRA2. by Molod, A., L. Takacs, M. Suarez, and J. Bacmeister
  
• Documentation and Validation of the Goddard Earth Observing System (GEOS) Data Assimilation System - Version 4 by Bloom, S., A. da Silva, D. Dee, M. Bosilovich, J.-D. Chern, S. Pawson, S. Schubert, M. Sienkiewicz, I. Stajner, W.-W. Tan, M.-L. Wu
  
• Land Surface Precipitation in MERRA-2. by Reichle, R.H., Q. Liu, R.D. Koster, C.S. Draper, S.P.P. Mahanama, and G.S. Partyka
  
• Numerical aspects of the application of recursive filters to variational statistical analysis. Part I: Spatially homogeneous and isotropic Gaussian covariances by Purser, R. J., W.-S. Wu, D. F. Parrish, and N. M. Roberts
  
• Numerical aspects of the application of recursive filters to variational statistical analysis. Part II: Spatially inhomogeneous and anisotropic general covariances by Purser, R. J., W.-S. Wu, D. F. Parrish, and N. M. Roberts
  
• The MERRA-2 Aerosol Reanalysis, 1980 Onward. Part I: System Description and Data Assimilation Evaluation. by Randles, C. A., A. M. da Silva, V. Buchard, P. R. Colarco, A. Darmenov, R. Govindaraju, A. Smirnov, B. Holben, R. Ferrare, J. Hair, Y.Shinozuka, and C.J. Flynn
  
• The MERRA-2 aerosol reanalysis, 1980 onward. Part II: Evaluation and case studies. by Buchard V., C. A. Randles, A. M. da Silva, A. Darmenov, P. R. Colarco, R. Govindaraju, R. Ferrare, J. Hair, A. J. Beyersdorf, L. D. Ziemba, H. Yu
  
• The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2). by Gelaro, R., W. McCarty, M. J. Suárez, R. Todling, A. Molod, L. Takacs, C. A. Randles, A. Darmenov, M. G. Bosilovich, R. Reichle, et al.
  
• Three-dimensional variational analysis with spatially inhomogeneous covariances by Wu, W.-S., R.J. Purser and D.F. Parrish
  

MERRA-2 inst3_3d_aer_Nv: 3d,3-Hourly,Instantaneous,Model-Level,Assimilation,Aerosol Mixing Ratio 0.625 x 0.5 degree

Tutorials

• How to Access GES DISC Data Using Python by James Acker, Jerome Alfred, Helen Amos, Chris Battisto, Thomas Hearty, Alexis Hunzinger, Lena Iredell, Christoph Keller, Binita KC, Carlee Loeser, Ariana Louise, Kristan Morgan, Dieu My T. Nguyen, Dana Ostrenga, Xiaohua Pan, Kanan Patel, Brianna R. Pagán, Andrey Savtchenko, Elliot Sherman, Suhung Shen, Jian Su,Joseph Wysk, Rupesh Shrestha.
  

Publications

• 2015b: MERRA-2: Initial Evaluation of the Climate by Bosilovich, M. G., S. Akella, L. Coy, R. Cullather, C. Draper, R. Gelaro, R. Kovach, Q.Liu, A. Molod, P. Norris, K. Wargan, W. Chao, R. Reichle, L. Takacs, Y. Vikhliaev, S. Bloom, A. Collow, S. Firth, G. Labow, G. Partyka, S. Pawson, O. Reale, S. D. Schubert, and M. Suarez
  
• A catchment-based approach to modeling land surface processes in a GCM, Part 1, Model Structure by Koster, R. D., M. J. Suarez, A. Ducharne, M. Stieglitz, and P. Kumar
  
• Assessment of MERRA-2 Land Surface Hydrology Estimates. by Reichle, R. H., C. S. Draper, Q. Liu, M. Girotto, S. P. P. Mahanama, R. D. Koster, and G. J. M. De Lannoy
  
• Data assimilation using incremental analysis updates by Bloom, S., L. Takacs, A. DaSilva, and D. Ledvina
  
• Design and implementation of components in the Earth System Modeling Framework by Collins, N., G. Theurich, C. DeLuca, M. Suarez, A. Trayanov, V. Balaji, P. Li, W. Yang, C. Hill, and A. da Silva
  
• Development of the GEOS-5 atmospheric general circulation model: evolution from MERRA to MERRA2. by Molod, A., L. Takacs, M. Suarez, and J. Bacmeister
  
• Documentation and Validation of the Goddard Earth Observing System (GEOS) Data Assimilation System - Version 4 by Bloom, S., A. da Silva, D. Dee, M. Bosilovich, J.-D. Chern, S. Pawson, S. Schubert, M. Sienkiewicz, I. Stajner, W.-W. Tan, M.-L. Wu
  
• Land Surface Precipitation in MERRA-2. by Reichle, R.H., Q. Liu, R.D. Koster, C.S. Draper, S.P.P. Mahanama, and G.S. Partyka
  
• Numerical aspects of the application of recursive filters to variational statistical analysis. Part I: Spatially homogeneous and isotropic Gaussian covariances by Purser, R. J., W.-S. Wu, D. F. Parrish, and N. M. Roberts
  
• Numerical aspects of the application of recursive filters to variational statistical analysis. Part II: Spatially inhomogeneous and anisotropic general covariances by Purser, R. J., W.-S. Wu, D. F. Parrish, and N. M. Roberts
  
• The MERRA-2 Aerosol Reanalysis, 1980 Onward. Part I: System Description and Data Assimilation Evaluation. by Randles, C. A., A. M. da Silva, V. Buchard, P. R. Colarco, A. Darmenov, R. Govindaraju, A. Smirnov, B. Holben, R. Ferrare, J. Hair, Y.Shinozuka, and C.J. Flynn
  
• The MERRA-2 aerosol reanalysis, 1980 onward. Part II: Evaluation and case studies. by Buchard V., C. A. Randles, A. M. da Silva, A. Darmenov, P. R. Colarco, R. Govindaraju, R. Ferrare, J. Hair, A. J. Beyersdorf, L. D. Ziemba, H. Yu
  
• The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2). by Gelaro, R., W. McCarty, M. J. Suárez, R. Todling, A. Molod, L. Takacs, C. A. Randles, A. Darmenov, M. G. Bosilovich, R. Reichle, et al.
  
• Three-dimensional variational analysis with spatially inhomogeneous covariances by Wu, W.-S., R.J. Purser and D.F. Parrish
  

MERRA-2 inst3_3d_asm_Np: 3d,3-Hourly,Instantaneous,Pressure-Level,Assimilation,Assimilated Meteorological Fields

Tutorials

• How to Access GES DISC Data Using Python by James Acker, Jerome Alfred, Helen Amos, Chris Battisto, Thomas Hearty, Alexis Hunzinger, Lena Iredell, Christoph Keller, Binita KC, Carlee Loeser, Ariana Louise, Kristan Morgan, Dieu My T. Nguyen, Dana Ostrenga, Xiaohua Pan, Kanan Patel, Brianna R. Pagán, Andrey Savtchenko, Elliot Sherman, Suhung Shen, Jian Su,Joseph Wysk, Rupesh Shrestha.
  

Publications

• 2015b: MERRA-2: Initial Evaluation of the Climate by Bosilovich, M. G., S. Akella, L. Coy, R. Cullather, C. Draper, R. Gelaro, R. Kovach, Q.Liu, A. Molod, P. Norris, K. Wargan, W. Chao, R. Reichle, L. Takacs, Y. Vikhliaev, S. Bloom, A. Collow, S. Firth, G. Labow, G. Partyka, S. Pawson, O. Reale, S. D. Schubert, and M. Suarez
  
• A catchment-based approach to modeling land surface processes in a GCM, Part 1, Model Structure by Koster, R. D., M. J. Suarez, A. Ducharne, M. Stieglitz, and P. Kumar
  
• Assessment of MERRA-2 Land Surface Hydrology Estimates. by Reichle, R. H., C. S. Draper, Q. Liu, M. Girotto, S. P. P. Mahanama, R. D. Koster, and G. J. M. De Lannoy
  
• Data assimilation using incremental analysis updates by Bloom, S., L. Takacs, A. DaSilva, and D. Ledvina
  
• Design and implementation of components in the Earth System Modeling Framework by Collins, N., G. Theurich, C. DeLuca, M. Suarez, A. Trayanov, V. Balaji, P. Li, W. Yang, C. Hill, and A. da Silva
  
• Development of the GEOS-5 atmospheric general circulation model: evolution from MERRA to MERRA2. by Molod, A., L. Takacs, M. Suarez, and J. Bacmeister
  
• Documentation and Validation of the Goddard Earth Observing System (GEOS) Data Assimilation System - Version 4 by Bloom, S., A. da Silva, D. Dee, M. Bosilovich, J.-D. Chern, S. Pawson, S. Schubert, M. Sienkiewicz, I. Stajner, W.-W. Tan, M.-L. Wu
  
• Land Surface Precipitation in MERRA-2. by Reichle, R.H., Q. Liu, R.D. Koster, C.S. Draper, S.P.P. Mahanama, and G.S. Partyka
  
• Numerical aspects of the application of recursive filters to variational statistical analysis. Part I: Spatially homogeneous and isotropic Gaussian covariances by Purser, R. J., W.-S. Wu, D. F. Parrish, and N. M. Roberts
  
• Numerical aspects of the application of recursive filters to variational statistical analysis. Part II: Spatially inhomogeneous and anisotropic general covariances by Purser, R. J., W.-S. Wu, D. F. Parrish, and N. M. Roberts
  
• The MERRA-2 Aerosol Reanalysis, 1980 Onward. Part I: System Description and Data Assimilation Evaluation. by Randles, C. A., A. M. da Silva, V. Buchard, P. R. Colarco, A. Darmenov, R. Govindaraju, A. Smirnov, B. Holben, R. Ferrare, J. Hair, Y.Shinozuka, and C.J. Flynn
  
• The MERRA-2 aerosol reanalysis, 1980 onward. Part II: Evaluation and case studies. by Buchard V., C. A. Randles, A. M. da Silva, A. Darmenov, P. R. Colarco, R. Govindaraju, R. Ferrare, J. Hair, A. J. Beyersdorf, L. D. Ziemba, H. Yu
  
• The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2). by Gelaro, R., W. McCarty, M. J. Suárez, R. Todling, A. Molod, L. Takacs, C. A. Randles, A. Darmenov, M. G. Bosilovich, R. Reichle, et al.
  
• Three-dimensional variational analysis with spatially inhomogeneous covariances by Wu, W.-S., R.J. Purser and D.F. Parrish
  

MERRA-2 inst3_3d_asm_Nv: 3d,3-Hourly,Instantaneous,Model-Level,Assimilation,Assimilated Meteorological Fields 0.625 x 0.5 degree

Tutorials

• How to Access GES DISC Data Using Python by James Acker, Jerome Alfred, Helen Amos, Chris Battisto, Thomas Hearty, Alexis Hunzinger, Lena Iredell, Christoph Keller, Binita KC, Carlee Loeser, Ariana Louise, Kristan Morgan, Dieu My T. Nguyen, Dana Ostrenga, Xiaohua Pan, Kanan Patel, Brianna R. Pagán, Andrey Savtchenko, Elliot Sherman, Suhung Shen, Jian Su,Joseph Wysk, Rupesh Shre
  

Publications

• 2015b: MERRA-2: Initial Evaluation of the Climate by Bosilovich, M. G., S. Akella, L. Coy, R. Cullather, C. Draper, R. Gelaro, R. Kovach, Q.Liu, A. Molod, P. Norris, K. Wargan, W. Chao, R. Reichle, L. Takacs, Y. Vikhliaev, S. Bloom, A. Collow, S. Firth, G. Labow, G. Partyka, S. Pawson, O. Reale, S. D. Schubert, and M. Suarez
  
• A catchment-based approach to modeling land surface processes in a GCM, Part 1, Model Structure by Koster, R. D., M. J. Suarez, A. Ducharne, M. Stieglitz, and P. Kumar
  
• Assessment of MERRA-2 Land Surface Hydrology Estimates. by Reichle, R. H., C. S. Draper, Q. Liu, M. Girotto, S. P. P. Mahanama, R. D. Koster, and G. J. M. De Lannoy
  
• Data assimilation using incremental analysis updates by Bloom, S., L. Takacs, A. DaSilva, and D. Ledvina
  
• Design and implementation of components in the Earth System Modeling Framework by Collins, N., G. Theurich, C. DeLuca, M. Suarez, A. Trayanov, V. Balaji, P. Li, W. Yang, C. Hill, and A. da Silva
  
• Development of the GEOS-5 atmospheric general circulation model: evolution from MERRA to MERRA2. by Molod, A., L. Takacs, M. Suarez, and J. Bacmeister
  
• Documentation and Validation of the Goddard Earth Observing System (GEOS) Data Assimilation System - Version 4 by Bloom, S., A. da Silva, D. Dee, M. Bosilovich, J.-D. Chern, S. Pawson, S. Schubert, M. Sienkiewicz, I. Stajner, W.-W. Tan, M.-L. Wu
  
• Land Surface Precipitation in MERRA-2. by Reichle, R.H., Q. Liu, R.D. Koster, C.S. Draper, S.P.P. Mahanama, and G.S. Partyka
  
• Numerical aspects of the application of recursive filters to variational statistical analysis. Part I: Spatially homogeneous and isotropic Gaussian covariances by Purser, R. J., W.-S. Wu, D. F. Parrish, and N. M. Roberts
  
• Numerical aspects of the application of recursive filters to variational statistical analysis. Part II: Spatially inhomogeneous and anisotropic general covariances by Purser, R. J., W.-S. Wu, D. F. Parrish, and N. M. Roberts
  
• The MERRA-2 Aerosol Reanalysis, 1980 Onward. Part I: System Description and Data Assimilation Evaluation. by Randles, C. A., A. M. da Silva, V. Buchard, P. R. Colarco, A. Darmenov, R. Govindaraju, A. Smirnov, B. Holben, R. Ferrare, J. Hair, Y.Shinozuka, and C.J. Flynn
  
• The MERRA-2 aerosol reanalysis, 1980 onward. Part II: Evaluation and case studies. by Buchard V., C. A. Randles, A. M. da Silva, A. Darmenov, P. R. Colarco, R. Govindaraju, R. Ferrare, J. Hair, A. J. Beyersdorf, L. D. Ziemba, H. Yu
  
• The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2). by Gelaro, R., W. McCarty, M. J. Suárez, R. Todling, A. Molod, L. Takacs, C. A. Randles, A. Darmenov, M. G. Bosilovich, R. Reichle, et al.
  
• Three-dimensional variational analysis with spatially inhomogeneous covariances by Wu, W.-S., R.J. Purser and D.F. Parrish
  

Argo marine floats data and metadata from Global Data Assembly Centre (Argo GDAC)

Tutorials

• Outreach activities by Argo program
  
• Outreach ressources for Argo floats by Euro-Argo ERIC
  

Tools & Applications

• Argo data selection by Euro-Argo ERIC
  
• Argo floats dashboard by Euro-Argo ERIC
  

Publications

• Argo data bibliography by Argo program
  

GPM IMERG Early Precipitation L3 1 day 0.1 degree x 0.1 degree V07 (GPM_3IMERGDE) at GES DISC

Tutorials

• How to Access GES DISC Data Using Python by James Acker, Jerome Alfred, Helen Amos, Chris Battisto, Thomas Hearty, Alexis Hunzinger, Lena Iredell, Christoph Keller, Binita KC, Carlee Loeser, Ariana Louise, Kristan Morgan, Dieu My T. Nguyen, Dana Ostrenga, Xiaohua Pan, Kanan Patel, Brianna R. Pagán, Andrey Savtchenko, Elliot Sherman, Suhung Shen, Jian Su,Joseph Wysk, Rupesh Shrestha.
  

Publications

• Calculation of Gridded Precipitation Data for the Global Land-Surface Using In-Situ Gauge Observations by Rudolf, B., and U. Schneider
  
• Kalman Filter Based CMORPH by Joyce, R. J., P. Xie, and J. E. Janowiak
  
• Precipitation Estimation from Remotely Sensed Imagery Using an Artificial Neural Network Cloud Classification System by Hong, Y., K. L. Hsu, S. Sorooshian, and X. Gao
  

GPM IMERG Final Precipitation L3 1 day 0.1 degree x 0.1 degree V07 (GPM_3IMERGDF) at GES DISC

Tutorials

• How to Access GES DISC Data Using Python by James Acker, Jerome Alfred, Helen Amos, Chris Battisto, Thomas Hearty, Alexis Hunzinger, Lena Iredell, Christoph Keller, Binita KC, Carlee Loeser, Ariana Louise, Kristan Morgan, Dieu My T. Nguyen, Dana Ostrenga, Xiaohua Pan, Kanan Patel, Brianna R. Pagán, Andrey Savtchenko, Elliot Sherman, Suhung Shen, Jian Su,Joseph Wysk, Rupesh Shrestha.
  

Publications

• Calculation of Gridded Precipitation Data for the Global Land-Surface Using In-Situ Gauge Observations by Rudolf, B., and U. Schneider
  
• Kalman Filter Based CMORPH by Joyce, R. J., P. Xie, and J. E. Janowiak
  
• Precipitation Estimation from Remotely Sensed Imagery Using an Artificial Neural Network Cloud Classification System by Hong, Y., K. L. Hsu, S. Sorooshian, and X. Gao
  

GPM IMERG Late Precipitation L3 1 day 0.1 degree x 0.1 degree V07 (GPM_3IMERGDL) at GES DISC

Tutorials

• How to Access GES DISC Data Using Python by James Acker, Jerome Alfred, Helen Amos, Chris Battisto, Thomas Hearty, Alexis Hunzinger, Lena Iredell, Christoph Keller, Binita KC, Carlee Loeser, Ariana Louise, Kristan Morgan, Dieu My T. Nguyen, Dana Ostrenga, Xiaohua Pan, Kanan Patel, Brianna R. Pagán, Andrey Savtchenko, Elliot Sherman, Suhung Shen, Jian Su,Joseph Wysk, Rupesh Shrestha.
  

Publications

• Calculation of Gridded Precipitation Data for the Global Land-Surface Using In-Situ Gauge Observations by Rudolf, B., and U. Schneider
  
• Kalman Filter Based CMORPH by Joyce, R. J., P. Xie, and J. E. Janowiak
  
• Precipitation Estimation from Remotely Sensed Imagery Using an Artificial Neural Network Cloud Classification System by Hong, Y., K. L. Hsu, S. Sorooshian, and X. Gao
  

Met Office Global Ensemble Prediction System (MOGREPS-G) on a 30-day rolling archive

Tutorials

• Numerical weather prediction models by Met Office
  
• The Met Office Unified Model by Met Office
  
• What is an ensemble forecast? by Met Office
  

Tools & Applications

• Iris by Iris Contributors
  

Met Office Global and Regional Ensemble Prediction System - UK (MOGREPS-UK) on a 30-day rolling archive

Tutorials

• Numerical weather prediction models by Met Office
  
• The Met Office Unified Model by Met Office
  
• What is an ensemble forecast? by Met Office
  

Tools & Applications

• Iris by Iris Contributors
  

Met Office Global Deterministic 10km on a 2-year rolling archive

Tutorials

• Numerical weather prediction models by Met Office
  
• The Met Office Unified Model by Met Office
  

Tools & Applications

• Iris by Iris Contributors
  

Met Office Global Ocean model on a 2-year rolling archive

Tutorials

• Coupled forecasting development by Met Office
  
• Ocean models by Met Office
  

Tools & Applications

• Iris by Iris Contributors
  

Met Office Global Wave model on a 2-year rolling archive

Tutorials

• Coupled forecasting development by Met Office
  
• Ocean models by Met Office
  

Tools & Applications

• Iris by Iris Contributors
  

Met Office NWS Ocean model on a 2-year rolling archive

Tutorials

• Coupled forecasting development by Met Office
  
• Ocean models by Met Office
  

Tools & Applications

• Iris by Iris Contributors
  

Met Office NWS Wave model on a 2-year rolling archive

Tutorials

• Coupled forecasting development by Met Office
  
• Ocean models by Met Office
  

Tools & Applications

• Iris by Iris Contributors
  

Met Office UK Deterministic (UKV)2km on a 2-year rolling archive

Tutorials

• Numerical weather prediction models by Met Office
  
• The Met Office Unified Model by Met Office
  

Tools & Applications

• Iris by Iris Contributors
  

NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP-CMIP6)

Tools & Applications

• NEX-GDDP-CMIP6 Dashboard by NASA
  

Publications

• NASA and ASDI announce no-cost access to important climate dataset on the AWS Cloud by Dr. Manil Maskey and Ana Pinheiro Privette
  
• NASA Global Daily Downscaled Projections, CMIP6 by Thrasher, B., Wang, W., Michaelis, A., Melton, F., Lee, T. and Nemani, R.
  

A Global Drought and Flood Catalogue from 1950 to 2016

Tutorials

• Data introduction included in the GDFC by Xiaogang He
  

Publications

• A Global Drought and Flood Catalogue from 1950 to 2016 by He, X., M. Pan, Z. Wei, E. F. Wood, and J. Sheffield
  

GHRSST Level 2P Global Sea Surface Skin Temperature from the MODIS on the NASA Terra satellite (GDS2)

Tutorials

• Direct S3 Access tutorial by PODAAC
  

Publications

• A decade of sea surface temperature from MODIS by Kilpatrick, K.A., Podestá, G., Walsh, S., Williams, E., Halliwell, V., Szczodrak, M., Brown, O.B., Minnett, P.J., & Evans, R.
  

Tropical Cyclone Precipitation, Infrared, Microwave, and Environmental Dataset (TC PRIMED)

Tutorials

• NOAA Center for Artificial Intelligence (NCAI) TC PRIMED Learning Journey Jupyter Notebooks by Naufal Razin (CSU/CIRA), Kathy Haynes (CSU/CIRA), Chris Slocum (NOAA/STAR)
  
  Amazon S3

Tools & Applications

• tcprimedapi by TC PRIMED Development Team
  

Ensemble Meteorological Dataset for Planet Earth, EM-Earth

Publications

• EM-Earth: The Ensemble Meteorological Dataset for Planet Earth by Guoqiang Tang, Martyn P. Clark & Simon Michael Papalexiou
  

Land/Sea static mask relevant to IMERG precipitation 0.1x0.1 degree V2 (GPM_IMERG_LandSeaMask) at GES DISC

Tutorials

• How to Access GES DISC Data Using Python by James Acker, Jerome Alfred, Helen Amos, Chris Battisto, Thomas Hearty, Alexis Hunzinger, Lena Iredell, Christoph Keller, Binita KC, Carlee Loeser, Ariana Louise, Kristan Morgan, Dieu My T. Nguyen, Dana Ostrenga, Xiaohua Pan, Kanan Patel, Brianna R. Pagán, Andrey Savtchenko, Elliot Sherman, Suhung Shen, Jian Su,Joseph Wysk, Rupesh Shrestha.
  

NCEP/CPC L3 Half Hourly 4km Global (60S - 60N) Merged IR V1 (GPM_MERGIR) at GES DISC

Tutorials

• How to Access GES DISC Data Using Python by James Acker, Jerome Alfred, Helen Amos, Chris Battisto, Thomas Hearty, Alexis Hunzinger, Lena Iredell, Christoph Keller, Binita KC, Carlee Loeser, Ariana Louise, Kristan Morgan, Dieu My T. Nguyen, Dana Ostrenga, Xiaohua Pan, Kanan Patel, Brianna R. Pagán, Andrey Savtchenko, Elliot Sherman, Suhung Shen, Jian Su,Joseph Wysk, Rupesh Shrestha.
  

NSF NCAR Curated ECMWF Reanalysis 5 (ERA5)

Publications

• The ERA5 global reanalysis by Hersbach et al 2020
  

OPERA Surface Displacement from Sentinel-1 validated product (Version 1)

Tutorials

• Inspect DISP-S1 Layers by M. Grace Bato
  

World Bank Climate Change Knowledge Portal (CCKP)

Publications

• World Bank Climate Change Knowledge Portal observed and projected climate datasets by World Bank
  

SatPM2.5

Tutorials

• Importing and Plotting the V6.GL.02.04 dataset into Matlab by Aaron van Donkelaar
  

Publications

• Enhancing Global Estimation of Fine Particulate Matter Concentrations by Including Geophysical a Priori Information in Deep Learning by Siyuan Shen, Chi Li, Aaron van Donkelaar, Nathan Jacobs, Chenguang Wang, and Randall V. Martin