{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T12:30:35Z","timestamp":1763037035024,"version":"build-2065373602"},"reference-count":48,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2016,11,2]],"date-time":"2016-11-02T00:00:00Z","timestamp":1478044800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In this study, efforts are focused on the comparison and validation of standard Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) products\u2014Version-7 3B42RT estimates before and after assimilation by using a Kalman filter with independent rain gauge networks located within the Jinghe basin of China. Generally, the direct comparison of TMPA precipitation estimates to 200 collocated rain gauges from 2006 to 2008 demonstrate that the spatial and temporal rainfall characteristics over the region are well captured by the assimilation estimates. Especially, results also show that using Kalman filter to assimilate TRMM-based multi-satellite real-time precipitation estimates tends to perform well over regions, where gauge network is rather sparse. Last, this study highlights that accurate detection and estimation of precipitation in the summer season by Kalman filter, particularly for nonlinear convective precipitation events, is still a challenging task for the future development of assimilation technique for improving the satellite-based precipitation accuracy.<\/jats:p>","DOI":"10.3390\/rs8110899","type":"journal-article","created":{"date-parts":[[2016,11,2]],"date-time":"2016-11-02T10:00:35Z","timestamp":1478080835000},"page":"899","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Using a Kalman Filter to Assimilate TRMM-Based Real-Time Satellite Precipitation Estimates over Jinghe Basin, China"],"prefix":"10.3390","volume":"8","author":[{"given":"Jiaqi","family":"Chen","sequence":"first","affiliation":[{"name":"State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China"},{"name":"College of Computer and Information Engineering, Hohai University, Nanjing 210098, China"}]},{"given":"Bin","family":"Yong","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China"}]},{"given":"Liliang","family":"Ren","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China"}]},{"given":"Weiguang","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China"}]},{"given":"Bo","family":"Chen","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China"}]},{"given":"Jianan","family":"Lin","sequence":"additional","affiliation":[{"name":"College of Computer and Information Engineering, Hohai University, Nanjing 210098, China"}]},{"given":"Zhongbo","family":"Yu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4358-6449","authenticated-orcid":false,"given":"Ning","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Space Microwave Remote Sensing System, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China"}]}],"member":"1968","published-online":{"date-parts":[[2016,11,2]]},"reference":[{"key":"ref_1","first-page":"265","article-title":"Effect of precipitation sampling error on simulated hydrological fluxes and states: Anticipating the global precipitation measurement satellites","volume":"109","author":"Bart","year":"2004","journal-title":"J. Geophys. Res."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"667","DOI":"10.1029\/2010WR009153","article-title":"Benchmarking quantitative precipitation estimation by conceptual rainfall-runoff modeling","volume":"47","author":"Heistermann","year":"2011","journal-title":"Water Resour. Res."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1353","DOI":"10.1175\/2011BAMS3158.1","article-title":"Advanced concepts on remote sensing of precipitation at multiple scales","volume":"92","author":"Sorooshian","year":"2011","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1175\/1525-7541(2001)002<0036:GPAODD>2.0.CO;2","article-title":"Global precipitation at one-degree daily resolution from multisatellite observations","volume":"2","author":"Huffman","year":"2001","journal-title":"J. Hydrometeorol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2415","DOI":"10.1029\/2007RG000243","article-title":"Developments in hydrometric network design: A review","volume":"47","author":"Mishra","year":"2009","journal-title":"Rev. Geophys."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1175\/2009JHM1190.1","article-title":"Evaluation of GSMaP precipitation estimates over the contiguous United States","volume":"11","author":"Tian","year":"2010","journal-title":"J. Hydrometeorol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1321","DOI":"10.1175\/2011BAMS-D-11-00047.1","article-title":"National Mosaic and Multi-sensor QPE (NMQ) System: Description, results, and future plans","volume":"92","author":"Zhang","year":"2011","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1175\/JHM560.1","article-title":"The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales","volume":"8","author":"Huffman","year":"2007","journal-title":"J. Hydrometeor."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1029\/2009GL040000","article-title":"Improving the global precipitation record: GPCP version 2.1","volume":"36","author":"Huffman","year":"2009","journal-title":"Geophys. Res. Lett."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1175\/1525-7541(2004)005<0487:CAMTPG>2.0.CO;2","article-title":"CMORPH: A method that products global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution","volume":"5","author":"Joyce","year":"2004","journal-title":"J. Hydrometeor."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1176","DOI":"10.1175\/1520-0450(1997)036<1176:PEFRSI>2.0.CO;2","article-title":"Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks","volume":"36","author":"Hsu","year":"1997","journal-title":"J. Appl. Meteorol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"2035","DOI":"10.1175\/1520-0477(2000)081<2035:EOPSSE>2.3.CO;2","article-title":"Evaluation of PERSIANN system satellite-based estimates of tropical rainfall","volume":"81","author":"Sorooshian","year":"2000","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"2259","DOI":"10.1109\/TGRS.2007.895337","article-title":"Global precipitation map using satelliteborne microwave radiometers by the GSMaP project: Production and validation","volume":"45","author":"Kubota","year":"2007","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"701","DOI":"10.1175\/BAMS-D-13-00164.1","article-title":"The global precipitation measurement mission","volume":"95","author":"Hou","year":"2014","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.atmosres.2011.10.021","article-title":"Global precipitation measurement: Methods, datasets and applications","volume":"104","author":"Tapiador","year":"2012","journal-title":"Atmos. Res."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Huffman, G.J., Adler, R.F., Bolvin, D.T., and Nelkin, E.J. (2010). The TRMM Multi-Satellite Precipitation Analysis (TMPA), Satellite Applications for Surface Hydrology, Springer.","DOI":"10.1007\/978-90-481-2915-7_1"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"973","DOI":"10.1029\/2006WR005202","article-title":"Flood prediction in the future: Recognizing hydrologic issues in anticipation of the Global Precipitation Measurement mission","volume":"42","author":"Hossain","year":"2006","journal-title":"Water Resour. Res."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1671","DOI":"10.1109\/TGRS.2006.888436","article-title":"An Experimental Global Prediction System for Rainfall-triggered Landslides using Satellite Remote Sensing and Geospatial Datasets","volume":"45","author":"Hong","year":"2007","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/j.jhydrol.2013.10.050","article-title":"Intercomparison of the Version-6 and Version-7 TMPA precipitation products over high and low latitudes basins with independent gauge networks: Is the newer version better in both real-time and post-real-time analysis for water resources and hydrologic extremes?","volume":"508","author":"Yong","year":"2014","journal-title":"J. Hydrol."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1007\/s11069-008-9324-5","article-title":"Evaluation of the real-time TRMM based multi-satellite precipitation analysis for an operational flood prediction system in Nzoia Basin, Lake Victoria, Africa","volume":"50","author":"Li","year":"2009","journal-title":"Nat. Hazards"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Dinku, T., Connor, S.J., and Seccato, P. (2010). Comparison of CMORPH and TRMM-3B42 over Mountainous Regions of Africa and South America Satellite, in Applications for Surface Hydrology, Springer.","DOI":"10.1007\/978-90-481-2915-7_11"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Bitew, M.M., and Gebremichael, M. (2011). Evaluation of satellite rainfall products through hydrologic simulation in a fully distributed hydrologic model. Water Resour. Res., 47.","DOI":"10.1029\/2010WR009917"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1044","DOI":"10.1175\/2009JAMC2298.1","article-title":"Evaluation of high resolution satellite precipitation products over very complex terrain in Ethiopia","volume":"49","author":"Hirpa","year":"2010","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1109\/TGRS.2010.2057513","article-title":"Satellite remote sensing and hydrologic modeling for flood inundation mapping in Lake Victoria Basin: Implications for hydrologic prediction in ungauged basins","volume":"49","author":"Khan","year":"2011","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"444","DOI":"10.1175\/2010JHM1353.1","article-title":"Potential utility of the real-time TMPA-RT precipitation estimates in streamflow prediction","volume":"12","author":"Su","year":"2011","journal-title":"J. Hydrometeorol."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1029\/2007GL030787","article-title":"Systematic anomalies over inland water bodies in satellite-based precipitation estimates","volume":"34","author":"Tian","year":"2007","journal-title":"Geophys. Res. Lett."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1175\/BAMS-88-1-47","article-title":"Comparison of near-real-time precipitation estimates from satellite observations and numerical models","volume":"88","author":"Ebert","year":"2007","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"923","DOI":"10.1002\/qj.2130","article-title":"Evaluation of several rainfall products used for hydrological applications over West Africa using two high-resolution gauge networks","volume":"139","author":"Gosset","year":"2013","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1029\/2009WR008290","article-title":"Assessing the skill of satellite based precipitation estimates in hydrologic applications","volume":"46","author":"Pan","year":"2010","journal-title":"Water Resour. Res."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1175\/JHM-D-14-0105.1","article-title":"Multiscale hydrologic applications of the latest satellite precipitation products in the Yangtze River Basin using a distributed hydrologic model","volume":"16","author":"Li","year":"2015","journal-title":"J. Hydrometeorol."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1687","DOI":"10.1175\/MWR2945.1","article-title":"Alignment error models and ensemble-based data assimilation","volume":"133","author":"Lawson","year":"2005","journal-title":"Mon. Weather Rev."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1029\/2009JD011949","article-title":"Component analysis of errors in satellite-based precipitation estimates","volume":"114","author":"Tian","year":"2009","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"622","DOI":"10.1175\/2007JHM944.1","article-title":"Evaluation of TRMM Multisatellite Precipitation Analysis (TMPA) and its utility in hydrologic prediction in the La Plata basin","volume":"9","author":"Su","year":"2008","journal-title":"J. Hydrometeor."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"879","DOI":"10.1002\/hyp.7529","article-title":"Evaluation of remotesensing-based rainfall products through predictive capability in hydrological runoff modelling","volume":"24","author":"Stisen","year":"2010","journal-title":"Hydrol. Processes"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1341","DOI":"10.1175\/JHM-D-14-0108.1","article-title":"Integration of satellite soil moisture and rainfall observations over the Italian territory","volume":"16","author":"Ciabatta","year":"2015","journal-title":"J. Hydrometeorol."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1115\/1.3662552","article-title":"A New Approach to Linear Filtering and Prediction Problems","volume":"82","author":"Kalman","year":"1960","journal-title":"J. Basic Eng."},{"key":"ref_37","unstructured":"Brown, R.G., and Hwang, P.Y.C. (1992). Introduction to Random Signals and Applied Kalman Filtering, John Wiley & Sons, Inc.. [2nd ed.]."},{"key":"ref_38","unstructured":"Ahnert, P.M. (1986, January 22\u201328). Kalman filter estimation of radar-rainfall mean field bias. Proceedings of the 23rd Conference on Radar Meteorology and the Conference on Cloud Physics, Snowmass Village, CO, USA."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1175\/1520-0450(1991)030<0397:EOTMFB>2.0.CO;2","article-title":"Estimation of mean field bias of radar rainfall estimates","volume":"30","author":"Smith","year":"1991","journal-title":"J. Appl. Meteorol."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1061\/(ASCE)1084-0699(1998)3:3(149)","article-title":"Mean-field rainfall bias studies for WSR-88D","volume":"3","author":"Anagnostou","year":"2012","journal-title":"J. Hydrol. Eng."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1016\/S0022-1694(99)00106-7","article-title":"Real-time estimation of mean field bias in radar rainfall data","volume":"223","author":"Seo","year":"1999","journal-title":"J. Hydrol."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"1163","DOI":"10.1175\/1520-0450(2002)041<1163:IRBEOR>2.0.CO;2","article-title":"Improving radar based estimation of rainfall over complex terrain","volume":"41","author":"Dinku","year":"2002","journal-title":"J. Appl. Meteorol."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1016\/j.jhydrol.2005.05.013","article-title":"Correcting of real-time radar rainfall bias using a Kalman filtering approach","volume":"317","author":"Chumchean","year":"2006","journal-title":"J. Hydrol."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1175\/2007JHM925.1","article-title":"Investigating error metrics for satellite rainfall at hydrologically relevant scales","volume":"9","author":"Hossain","year":"2008","journal-title":"J. Hydrometeorol."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1023\/A:1007586507433","article-title":"An Experimental Comparison of Ordinary and Universal Kriging and Inverse Distance Weighting","volume":"31","author":"Zimmerman","year":"1999","journal-title":"Math. Geol."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1044","DOI":"10.1016\/j.cageo.2007.07.010","article-title":"An adaptive inverse-distance weighting spatial interpolation technique","volume":"34","author":"Lu","year":"2008","journal-title":"Comput. Geosci."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1147","DOI":"10.1175\/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2","article-title":"The version 2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979\u2013present)","volume":"4","author":"Adler","year":"2003","journal-title":"J. Hydrometeorol."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1175\/2007JHM876.1","article-title":"Thailand daily rainfall and comparison with TRMM products","volume":"9","author":"Chokngamwong","year":"2008","journal-title":"J. Hydrometeorol."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/11\/899\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:34:35Z","timestamp":1760211275000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/11\/899"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,11,2]]},"references-count":48,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2016,11]]}},"alternative-id":["rs8110899"],"URL":"https:\/\/doi.org\/10.3390\/rs8110899","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2016,11,2]]}}}