N: 89.5 S: -89.5 E: 180 W: -180
Description
The monthly land mass grids contain water mass anomalies given as equivalent water thickness derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors. Version 04 (v04) of the terrestrial water storage data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices.
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| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| A multi-source approach to groundwater storage and recharge assessment in the Volta Basin | Barbosa, Sergio A., Jones, Norman L., Williams, Gustavious P., Teklu, Henok, Yidana, Sandow M., Pulla, Sarva T., Sanchez, Jorge Luis, Nelson, E. James, Ames, Daniel P., Miller, A. Woodruff | Terrestrial Water Storage | |
| Assessment of Potential Irrigation-Induced Surface Deformation in an Agricultural Area with Sentinel-1 Insar and Grace Gravimetric Observations | Farias, Celina Anael, Sanchez, Michelle Lenardon, Seppi, Santiago A., Carignano, Claudio A. | Terrestrial Water Storage | |
| Assessment of water quality and coastal changes under climate impacts using multi-sensor satellite techniques in the Southern Absheron Peninsula | Ahadov, Bahruz, Gadirli, Farid, Hajiyeva, Gulnar | Terrestrial Water Storage | |
| ENSO wildfires impact Amazonian floodplains in complex ways | van der Sleen, Peter, Decuyper, Mathieu, Flores, Bernardo M., Householder, J. Ethan, Holmgren, Milena | Terrestrial Water Storage | |
| Downscaling GRACE-scale groundwater storage variations to aquifer scales: A linear regression approach based on the water balance concept | Fakourian, Mohammad Hossein, Naderi, Mostafa, Joodaki, Gholamreza | Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Surface Temperature, Humidity, Evapotranspiration, Surface Winds, Rain, Precipitation Rate, Snow, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Water Equivalent, Runoff, Terrestrial Water Storage | |
| Global Groundwater Drought Assessment Revisited: A Holistic | Akl, Mohamed, Thomas, Brian F., Clarke, Peter J. | Terrestrial Water Storage | |
| Improving satellite remote sensing estimates of the global terrestrial | Heberger, Matthew, Aires, Filipe, Pellet, Victor | Emissivity, Land Surface Temperature, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Terrestrial Water Storage, Snow Cover | |
| Influence of floodplains and groundwater dynamics on the present-day climate simulated by the CNRM climate model | Decharme, Bertrand, Colin, Jeanne | Terrestrial Water Storage | |
| Nonoverlapped Sources of the Devastating 2023 Mw | He, Ping, Wen, Yangmao, Zhong, Yulong, Cai, Jianfeng | Terrestrial Water Storage | |
| Spatial Distribution and Seasonal Variability of Weak Seismicity in the Lena Delta (Laptev Sea Region) | Novikov, M. A., Krylov, A. A., Radiuk, E. A., Geissler, W. H., Kruger, F., Baranov, B. V., Tsukanov, N. V., Shibaev, S. V. | Terrestrial Water Storage | |
| Time Distributed Deep Learning Models for Purely Exogenous Forecasting: Application to Water Table Depth Predictions Using Weather Image Time Series | Salis, Matteo, Atto, Abdourrahmane M., Ferraris, Stefano, Meo, Rosa | Terrestrial Water Storage | |
| Direct and lagged climate change effects intensified the 2022 European drought | Bevacqua, Emanuele, Rakovec, Oldrich, Schumacher, Dominik L., Kumar, Rohini, Thober, Stephan, Samaniego, Luis, Seneviratne, Sonia I., Zscheischler, Jakob | Terrestrial Water Storage | |
| NEOTECTONICS OF THE OCEAN-CONTINENT TRANSITION ZONE IN THE COTE D'IVOIRE REGION (WEST AFRICA) | Sokolov, S.Yu., Geological Institute RAS, Mamadu, Diomande, Ednard, Eby Ama Yvonne, Raymond, Mouah | Terrestrial Water Storage | |
| Optimal combinations of global evapotranspiration and terrestrial water storage products for catchment water balance | Yoo, Sanghyun, Kim, Seokhyeon, Paik, Kyungrock | Terrestrial Water Storage | |
| Multi-model hydrological reference dataset over continental Europe and an African basin | Droppers, Bram, Rakovec, Oldrich, Avila, Leandro, Azimi, Shima, Cortes-Torres, Nicolas, De Leon Perez, David, Imhoff, Ruben, Frances, Felix, Kollet, Stefan, Rigon, Riccardo, Weerts, Albrecht, Samaniego, Luis | Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Terrestrial Water Storage, Ground Water, Glacier Mass Balance/Ice Sheet Mass Balance | |
| The changing climate and domestic water consumption in Mexican cities | Magana, Victor, Abrego Gongora, Carlos Joel, Mendez Antonio, Baldemar | Terrestrial Water Storage | |
| A Two-Step Linear Model to Fill the Data Gap Between GRACE and GRACE-FO | Yang, Xinchun, You, Wei, Tian, Siyuan, Jiang, Zhongshan, Wan, Xiangyu | Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Surface Temperature, Humidity, Evapotranspiration, Surface Winds, Rain, Precipitation Rate, Snow, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Water Equivalent, Runoff, Terrestrial Water Storage | |
| A new GRACE filtering approach based on iterative image convolution | Zhou, Hao, Wang, Penghui, Tang, Lu, Luo, Zhicai | Gravity, Terrestrial Water Storage, Gravity Anomalies | |
| Cause of substantial global mean sea level rise over 20142016 | Llovel, William, Balem, Kevin, Tajouri, Soumaia, Hochet, Antoine | Terrestrial Water Storage, Water Pressure, Ocean Bottom Pressure | |
| EASYMORE: A Python package to streamline the remapping of variables for Earth System models | Gharari, Shervan, Keshavarz, Kasra, Knoben, Wouter J.M., Tang, Gouqiang, Clark, Martyn P. | Terrestrial Water Storage | |
| Evaluation of runoff estimation from GRACE coupled with different | Alghafli, Khaled, Ali, Awad M., Shi, Xiaogang, Sloan, William, Obeid, Ali A.A., Shamsudduha, Mohammad | Terrestrial Water Storage, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Integration of a Groundwater Model to the Noah Land Surface Model for | Samuel, Jerry B., Chakraborty, Arindam | Terrestrial Water Storage | |
| Seasonal Water Balance Estimation for Abbay River Basin Using Open Access Satellite Databases and Hydrological Model, East Africa | Kitanbo Yoshe, Agegnehu | Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Surface Temperature, Humidity, Evapotranspiration, Surface Winds, Rain, Precipitation Rate, Snow, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Water Equivalent, Runoff, Terrestrial Water Storage | |
| Seasonal forecasting skill for the high mountain Asia region in the Goddard Earth Observing System | Massoud, Elias C., Andrews, Lauren, Reichle, Rolf, Molod, Andrea, Park, Jongmin, Ruehr, Sophie, Girotto, Manuela | Heat Flux, Air Temperature, Skin Temperature, Specific Humidity, Water Vapor, Precipitation Rate, Snow/Ice, Evaporation, Latent Heat Flux, Latent Heat Flux, Sensible Heat Flux, Diffusion, Surface Winds, Wind Speed, U/V Wind Components, Wind Stress, Wind Stress, Surface Roughness, Planetary Boundary Layer Height, Ice Fraction, Geopotential Height, Altitude, Surface Temperature, Upper Air Temperature, Dew Point Temperature, Cloud Top Temperature, Atmospheric Winds, Surface Winds, Upper Level Winds, U/V Wind Components, Vertical Wind Velocity/Speed, Atmospheric Pressure, Sea Level Pressure, Cloud Top Pressure, Sea Level Pressure, Surface Pressure, Total Precipitable Water, Cloud Liquid Water/Ice, Atmospheric Water Vapor, Atmospheric Ozone, Oxygen Compounds, Boundary Layer Winds, Longwave Radiation, Shortwave Radiation, Soil Heat Budget, Soil Heat Budget, Soil Temperature, Soil Temperature, Soil Infiltration, Soil Infiltration, Soil Moisture/Water Content, Surface Soil Moisture, Root Zone Soil Moisture, Soil Moisture/Water Content, Surface Water, Runoff Rate, Average Flow, Average Flow, Precipitation, Snow Depth, Snow Melt, Snow/Ice Temperature, Leaf Area Index (LAI), Leaf Area Index (LAI), Albedo, Snow Depth, Snow Water Equivalent, Terrestrial Water Storage | |
| A daily and 500 m coupled evapotranspiration and gross primary production product across China during 20002020 | He, Shaoyang, Zhang, Yongqiang, Ma, Ning, Tian, Jing, Kong, Dongdong, Liu, Changming | Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Terrestrial Water Storage, Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Surface Temperature, Humidity, Evapotranspiration, Surface Winds, Rain, Precipitation Rate, Snow, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Water Equivalent, Runoff, Reflectance, Albedo, Anisotropy, Emissivity, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) |
Variables
The table below lists the variables contained within a single granule for this dataset. Variables often contain observed or derived geophysical measurements collected from a variety of sources, including remote sensing instruments on satellite and airborne platforms, field campaigns, in situ measurements, and model outputs. The terms variable, parameter, scientific data set, layer, and band have been used across NASA’s Earth science disciplines; however, variable is the designated nomenclature in NASA’s Common Metadata Repository (CMR). Variable metadata attributes such as Name, Description, Units, Data Type, Fill Value, Valid Range, and Scale Factor allow users to efficiently process and analyze the data. The full range of attributes may not be applicable to all variables. Additional information on variable attributes is typically available in the data, user guide, and/or other product documentation.
For questions on a specific variable, please use the Earthdata Forum.
| Name Sort descending | Description | Units | Data Type | Fill Value | Valid Range | Scale Factor | Offset |
|---|---|---|---|---|---|---|---|
| lat | latitude value at each pixel | degrees_north | double | N/A | -89.5 to 89.5 | 1 | N/A |
| lat_bounds | latitude values at the north and south bounds of each pixel | degrees_north | double | N/A | N/A | 1 | N/A |
| lon | longitude value at each pixel | degrees_east | double | N/A | 0.5 to 359.5 | 1 | N/A |
| lon_bounds | longitude values at the west and east bounds of each pixel | degrees_east | double | N/A | N/A | 1 | N/A |
| lwe_thickness | none | m | double | -99999 | -30 to 30 | 1 | N/A |
| time | time | days since 2002-01-01T00:00:00 | double | N/A | N/A | 1 | N/A |
| time_bounds | time bounds for each time value, i.e., the first day and last day included in the monthly solution | days since 2002-01-01T00:00:00 | double | N/A | N/A | 1 | N/A |
| uncertainty | none | m | double | -99999 | -30 to 30 | 1 | N/A |