{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:58:27Z","timestamp":1760147907520,"version":"build-2065373602"},"reference-count":76,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2023,3,10]],"date-time":"2023-03-10T00:00:00Z","timestamp":1678406400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002261","name":"RFBR","doi-asserted-by":"publisher","award":["19-55-80028","75295876"],"award-info":[{"award-number":["19-55-80028","75295876"]}],"id":[{"id":"10.13039\/501100002261","id-type":"DOI","asserted-by":"publisher"}]},{"name":"St. Petersburg State University","award":["19-55-80028","75295876"],"award-info":[{"award-number":["19-55-80028","75295876"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The transfer of water and energy fluxes between the ground and the atmosphere is influenced by soil moisture (SM), which is an important factor in land surface dynamics. Accurate representation of SM over permafrost-affected regions remains challenging. Leveraging blended SM from microwave satellites, this study examines the potential for satellite SM assimilation to enhance LSM (Land Surface Model) seasonal dynamics. The Ensemble Kalman Filter (EnKF) is used to integrate SM data across the Iya River Basin, Russia. Considering the permafrost, only the summer months (June to August) are utilized for assimilation. Field data from two sites are used to validate the study\u2019s findings. Results show that assimilation lowers the dry bias in Noah LSM by up to 6%, which is especially noticeable in the northern regions of the Iya Basin. Comparison with in situ station data demonstrates a considerable improvement in correlation between SM after assimilation (0.94) and before assimilation (0.84). The findings also reveal a significant relationship between SM and surface energy balance.<\/jats:p>","DOI":"10.3390\/rs15061532","type":"journal-article","created":{"date-parts":[[2023,3,13]],"date-time":"2023-03-13T03:03:57Z","timestamp":1678676637000},"page":"1532","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Leveraging Soil Moisture Assimilation in Permafrost Affected Regions"],"prefix":"10.3390","volume":"15","author":[{"given":"Ankita","family":"Pradhan","sequence":"first","affiliation":[{"name":"Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai 400076, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7305-796X","authenticated-orcid":false,"given":"Akhilesh S.","family":"Nair","sequence":"additional","affiliation":[{"name":"Geophysical Institute, University of Bergen and Bjerknes Center for Climate Research, 5007 Bergen, Norway"}]},{"given":"J.","family":"Indu","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai 400076, India"},{"name":"Interdisciplinary Center for Climate Studies, Indian Institute of Technology Bombay, Mumbai 400076, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2532-4306","authenticated-orcid":false,"given":"Olga","family":"Makarieva","sequence":"additional","affiliation":[{"name":"Institute of Earth Sciences, Saint Petersburg State University, 199034 St. Petersburg, Russia"}]},{"given":"Nataliia","family":"Nesterova","sequence":"additional","affiliation":[{"name":"Institute of Earth Sciences, Saint Petersburg State University, 199034 St. Petersburg, Russia"}]}],"member":"1968","published-online":{"date-parts":[[2023,3,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Jin, H., Huang, Y., Bense, V.F., Ma, Q., Marchenko, S.S., Shepelev, V.V., Hu, Y., Liang, S., Spektor, V.V., and Jin, X. 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