An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space
Abstract The task of quantifying spatial and temporal variations in terrestrial water, energy, and vegetation conditions is challenging due to the significant complexity and heterogeneity of these conditions, all of which are impacted by climate change and anthropogenic activities. To address this c...
| Main Authors: | , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Geophysical Union (AGU)
2022-11-01
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| Series: | Journal of Advances in Modeling Earth Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2022MS003259 |
| _version_ | 1797253658981695488 |
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| author | Sujay Kumar Jana Kolassa Rolf Reichle Wade Crow Gabrielle deLannoy Patricia deRosnay Natasha MacBean Manuela Girotto Andy Fox Tristan Quaife Clara Draper Barton Forman Gianpaolo Balsamo Susan Steele‐Dunne Clement Albergel Bertrand Bonan Jean‐Christophe Calvet Jianzhi Dong Hannah Liddy Benjamin Ruston |
| author_facet | Sujay Kumar Jana Kolassa Rolf Reichle Wade Crow Gabrielle deLannoy Patricia deRosnay Natasha MacBean Manuela Girotto Andy Fox Tristan Quaife Clara Draper Barton Forman Gianpaolo Balsamo Susan Steele‐Dunne Clement Albergel Bertrand Bonan Jean‐Christophe Calvet Jianzhi Dong Hannah Liddy Benjamin Ruston |
| author_sort | Sujay Kumar |
| collection | DOAJ |
| description | Abstract The task of quantifying spatial and temporal variations in terrestrial water, energy, and vegetation conditions is challenging due to the significant complexity and heterogeneity of these conditions, all of which are impacted by climate change and anthropogenic activities. To address this challenge, Earth Observations (EOs) of the land and their utilization within data assimilation (DA) systems are vital. Satellite EOs are particularly relevant, as they offer quasi‐global coverage, are non‐intrusive, and provide uniformity, rapid measurements, and continuity. The past three decades have seen unprecedented growth in the number and variety of land remote sensing technologies launched by space agencies and commercial companies around the world. There have also been significant developments in land modeling and DA systems to provide tools that can exploit these measurements. Despite these advances, several important gaps remain in current land DA research and applications. This paper discusses these gaps, particularly in the context of using DA to improve model states for short‐term numerical weather and sub‐seasonal to seasonal predictions. We outline an agenda for land DA priorities so that the next generation of land DA systems will be better poised to take advantage of the significant current and anticipated shifts and advancements in remote sensing, modeling, computational technologies, and hardware resources. |
| first_indexed | 2024-04-24T21:37:34Z |
| format | Article |
| id | doaj.art-9bdb987585f74b83b9167d00c385e744 |
| institution | Directory Open Access Journal |
| issn | 1942-2466 |
| language | English |
| last_indexed | 2024-04-24T21:37:34Z |
| publishDate | 2022-11-01 |
| publisher | American Geophysical Union (AGU) |
| record_format | Article |
| series | Journal of Advances in Modeling Earth Systems |
| spelling | doaj.art-9bdb987585f74b83b9167d00c385e7442024-03-21T18:32:29ZengAmerican Geophysical Union (AGU)Journal of Advances in Modeling Earth Systems1942-24662022-11-011411n/an/a10.1029/2022MS003259An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From SpaceSujay Kumar0Jana Kolassa1Rolf Reichle2Wade Crow3Gabrielle deLannoy4Patricia deRosnay5Natasha MacBean6Manuela Girotto7Andy Fox8Tristan Quaife9Clara Draper10Barton Forman11Gianpaolo Balsamo12Susan Steele‐Dunne13Clement Albergel14Bertrand Bonan15Jean‐Christophe Calvet16Jianzhi Dong17Hannah Liddy18Benjamin Ruston19Hydrological Sciences Lab NASA Goddard Flight Center Greenbelt MD USAGlobal Modeling and Assimilation Office NASA Goddard Space Flight Center Greenbelt MD USAGlobal Modeling and Assimilation Office NASA Goddard Space Flight Center Greenbelt MD USAUSDA‐ARS Hydrology and Remote Sensing Laboratory Beltsville MD USADepartment of Earth and Environmental Sciences KU Leuven Heverlee BelgiumEuropean Centre for Medium‐Range Weather Forecasts Reading UKDepartment of Geography and Environment Western University London ON CanadaEnvironmental Science and Policy Management University of California Berkeley CA USAJoint Center for Satellite Data Assimilation Boulder CO USADepartment of Meteorology National Centre for Earth Observation University of Reading Reading UKNOAA Earth System Research Laboratories Boulder CO USADepartment of Civil and Environmental Engineering University of Maryland College Park MD USAEuropean Centre for Medium‐Range Weather Forecasts Reading UKDepartment of Geoscience and Remote Sensing Delft University of Technology Delft The NetherlandsEuropean Space Agency Climate Office ECSAT Harwell Campus Didcot UKCentre National de Recherches Meteorologiques Meteo‐France University de Toulouse Toulouse FranceCentre National de Recherches Meteorologiques Meteo‐France University de Toulouse Toulouse FranceInstitute of Surface‐Earth System Science Tianjin University Tianjin ChinaCenter for Climate Systems Research Columbia Climate School Columbia University New York NY USAJoint Center for Satellite Data Assimilation Boulder CO USAAbstract The task of quantifying spatial and temporal variations in terrestrial water, energy, and vegetation conditions is challenging due to the significant complexity and heterogeneity of these conditions, all of which are impacted by climate change and anthropogenic activities. To address this challenge, Earth Observations (EOs) of the land and their utilization within data assimilation (DA) systems are vital. Satellite EOs are particularly relevant, as they offer quasi‐global coverage, are non‐intrusive, and provide uniformity, rapid measurements, and continuity. The past three decades have seen unprecedented growth in the number and variety of land remote sensing technologies launched by space agencies and commercial companies around the world. There have also been significant developments in land modeling and DA systems to provide tools that can exploit these measurements. Despite these advances, several important gaps remain in current land DA research and applications. This paper discusses these gaps, particularly in the context of using DA to improve model states for short‐term numerical weather and sub‐seasonal to seasonal predictions. We outline an agenda for land DA priorities so that the next generation of land DA systems will be better poised to take advantage of the significant current and anticipated shifts and advancements in remote sensing, modeling, computational technologies, and hardware resources.https://doi.org/10.1029/2022MS003259land surfacedata assimilationremote sensinghydrology |
| spellingShingle | Sujay Kumar Jana Kolassa Rolf Reichle Wade Crow Gabrielle deLannoy Patricia deRosnay Natasha MacBean Manuela Girotto Andy Fox Tristan Quaife Clara Draper Barton Forman Gianpaolo Balsamo Susan Steele‐Dunne Clement Albergel Bertrand Bonan Jean‐Christophe Calvet Jianzhi Dong Hannah Liddy Benjamin Ruston An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space Journal of Advances in Modeling Earth Systems land surface data assimilation remote sensing hydrology |
| title | An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space |
| title_full | An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space |
| title_fullStr | An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space |
| title_full_unstemmed | An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space |
| title_short | An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space |
| title_sort | agenda for land data assimilation priorities realizing the promise of terrestrial water energy and vegetation observations from space |
| topic | land surface data assimilation remote sensing hydrology |
| url | https://doi.org/10.1029/2022MS003259 |
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