{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,7]],"date-time":"2025-12-07T09:06:48Z","timestamp":1765098408968,"version":"build-2065373602"},"reference-count":51,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2024,6,18]],"date-time":"2024-06-18T00:00:00Z","timestamp":1718668800000},"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>This study evaluated the accuracy of two new generation satellite rainfall estimates (SREs): Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and Integrated Multi-satellite Retrieval for GPM (IMERG) over Bolivia\u2019s complex terrain. These SREs were compared against rainfall data from rain gauge measurements on a point-to-pixel basis for the period 2002\u20132020. The evaluation was performed across three regions with distinct topographical settings: Altiplano (Highland), Valles (Midland), and Llanos (Lowland). IMERG exhibited better accuracy in rainfall detection than CHIRPS, with the highest rainfall detection skills observed in the Highland region. However, IMERG\u2019s higher rainfall detection skill was countered by its higher false alarm ratio. CHIRPS provided a more accurate estimation of rainfall amounts across the three regions, exhibiting low random errors and relative biases below 10%. IMERG tended to overestimate rainfall amounts, with marked overestimation by up to 75% in the Highland region. Bias decomposition revealed that IMERG\u2019s high false rainfall bias contributed to its marked overestimation of rainfall. We showcase the utility of long-term CHIRPS data to investigate spatio-temporal rainfall patterns and meteorological drought occurrence in Bolivia. The findings of this study offer valuable insights for choosing appropriate SREs for informed decision-making, particularly in regions of complex topography lacking reliable gauge data.<\/jats:p>","DOI":"10.3390\/rs16122211","type":"journal-article","created":{"date-parts":[[2024,6,19]],"date-time":"2024-06-19T04:21:28Z","timestamp":1718770888000},"page":"2211","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Unveiling the Accuracy of New-Generation Satellite Rainfall Estimates across Bolivia\u2019s Complex Terrain"],"prefix":"10.3390","volume":"16","author":[{"given":"Silvia Roxana Mattos","family":"Gutierrez","sequence":"first","affiliation":[{"name":"Independent Researcher, Av. Buch Nro 1924, Zona Miraflores, La Paz, Bolivia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8228-4048","authenticated-orcid":false,"given":"Ayele Almaw","family":"Fenta","sequence":"additional","affiliation":[{"name":"International Platform for Dryland Research and Education, Tottori University, Tottori 680-0001, Japan"}]},{"given":"Taye Minichil","family":"Meshesha","sequence":"additional","affiliation":[{"name":"The United Graduate School of Agricultural Sciences, Tottori University, 4-101 Koyama-Minami, Tottori 680-0945, Japan"},{"name":"School of Civil and Water Resource Engineering, Debre Markos Institute of Technology, Debre Markos University, Debre Markos P.O. Box 269, Ethiopia"}]},{"given":"Ashebir Sewale","family":"Belay","sequence":"additional","affiliation":[{"name":"Department of Earth Science, Bahir Dar University, Bahir Dar P.O. Box 79, Ethiopia"}]}],"member":"1968","published-online":{"date-parts":[[2024,6,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"4555","DOI":"10.1002\/hyp.11378","article-title":"Spatial distribution and temporal trends of rainfall and erosivity in the Eastern Africa region","volume":"31","author":"Fenta","year":"2017","journal-title":"Hydrol. Process."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Meshesha, T.M., Tsunekawa, A., Haregeweyn, N., Tsubo, M., Fenta, A.A., Berihun, M.L., Mulu, A., Belay, A.S., Sultan, D., and Ebabu, K. (2024). Alterations in Hydrological Responses under Changing Climate and Land Use\/Land Cover across Contrasting Agroecological Environments: A Case Study on the Chemoga Watershed in the Upper Blue Nile Basin, Ethiopia. Water, 16.","DOI":"10.3390\/w16071037"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"101025","DOI":"10.1016\/j.ejrh.2022.101025","article-title":"Evaluation of lag time and time of concentration estimation methods in small tropical watersheds in Ethiopia","volume":"40","author":"Sultan","year":"2022","journal-title":"J. Hydrol. Reg. Stud."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Belay, A.S., Fenta, A.A., Yenehun, A., Nigate, F., Tilahun, S.A., Moges, M.M., Dessie, M., Adgo, E., Nyssen, J., and Chen, M. (2019). Evaluation and application of multi-source satellite rainfall product CHIRPS to assess spatio-temporal rainfall variability on data-sparse western margins of Ethiopian highlands. Remote Sens., 11.","DOI":"10.3390\/rs11222688"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Alsilibe, F., Bene, K., Bilal, G., Alghafli, K., and Shi, X. (2023). Accuracy assessment and validation of multi-source CHIRPS precipitation estimates for water resource management in the Barada Basin, Syria. Remote Sens., 15.","DOI":"10.3390\/rs15071778"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1229","DOI":"10.1007\/s10113-017-1103-y","article-title":"Response of streamflow to climate variability and changes in human activities in the semiarid highlands of northern Ethiopia","volume":"17","author":"Fenta","year":"2017","journal-title":"Reg. Environ. Change"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"713","DOI":"10.1016\/j.iswcr.2023.07.008","article-title":"Towards a better understanding of pathways of multiple co-occurring erosion processes on global cropland","volume":"11","author":"Borrelli","year":"2023","journal-title":"Int. Soil Water Conserv. Res."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"135016","DOI":"10.1016\/j.scitotenv.2019.135016","article-title":"Land susceptibility to water and wind erosion risks in the East Africa region","volume":"703","author":"Fenta","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"129555","DOI":"10.1016\/j.jhydrol.2023.129555","article-title":"Improving satellite-based global rainfall erosivity estimates through merging with gauge data","volume":"620","author":"Fenta","year":"2023","journal-title":"J. Hydrol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"8167","DOI":"10.1038\/s41598-024-59019-1","article-title":"An integrated modeling approach for estimating monthly global rainfall erosivity","volume":"14","author":"Fenta","year":"2024","journal-title":"Sci. Rep."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"109482","DOI":"10.1016\/j.dib.2023.109482","article-title":"Global rainfall erosivity database (GloREDa) and monthly R-factor data at 1 km spatial resolution","volume":"50","author":"Panagos","year":"2023","journal-title":"Data Brief"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"100998","DOI":"10.1016\/j.ejrh.2022.100998","article-title":"Reduced runoff and sediment loss under alternative land capability-based land use and management options in a sub-humid watershed of Ethiopia","volume":"40","author":"Berihun","year":"2022","journal-title":"J. Hydrol. Reg. Stud."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"110786","DOI":"10.1016\/j.envres.2021.110786","article-title":"Agroecology-based soil erosion assessment for better conservation planning in Ethiopian river basins","volume":"195","author":"Fenta","year":"2021","journal-title":"Environ. Res."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"116872","DOI":"10.1016\/j.envres.2023.116872","article-title":"An integrated framework for improving watershed management planning","volume":"236","author":"Fenta","year":"2023","journal-title":"Environ. Res."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.atmosres.2015.02.002","article-title":"Precipitation comparison for the CFSR, MERRA, TRMM3B42 and Combined Scheme datasets in Bolivia","volume":"163","author":"Blacutt","year":"2015","journal-title":"Atmos. Res."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"4583","DOI":"10.1080\/01431161.2011.652315","article-title":"TRMM rainfall correction over the Andean Plateau using wavelet multi-resolution analysis","volume":"33","author":"Heidinger","year":"2012","journal-title":"Int. J. Remote Sens."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.atmosres.2015.07.012","article-title":"Assessment of satellite rainfall products over the Andean plateau","volume":"167","author":"Bonnet","year":"2016","journal-title":"Atmos. Res."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"292","DOI":"10.1002\/qj.3244","article-title":"Validation of the CHIRPS satellite rainfall estimates over eastern Africa","volume":"144","author":"Dinku","year":"2018","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.atmosres.2018.05.009","article-title":"Evaluation of satellite rainfall estimates over the Lake Tana basin at the source region of the Blue Nile River","volume":"212","author":"Fenta","year":"2018","journal-title":"Atmos. Res."},{"key":"ref_20","first-page":"012042","article-title":"Validation of climate hazard group infrared precipitation with station (CHIRPS) data in wonorejo reservoir, Indonesia","volume":"Volume 930","author":"Wahyuni","year":"2021","journal-title":"IOP Conference Series: Earth and Environmental Science"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"17382","DOI":"10.1080\/10106049.2022.2129816","article-title":"Performance of high-resolution precipitation datasets CHIRPS and TerraClimate in a Colombian high Andean Basin","volume":"37","year":"2022","journal-title":"Geocarto Int."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1016\/j.jhydrol.2005.11.041","article-title":"Comparison of satellite rainfall data with observations from gauging station networks","volume":"327","author":"Hughes","year":"2006","journal-title":"J. Hydrol."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros, D.H., Verdin, J.P., Rowland, J.D., Romero, B.E., Husak, G.J., Michaelsen, J.C., and Verdin, A.P. (2014). A Quasi-Global Precipitation Time Series for Drought Monitoring, US Geological Survey.","DOI":"10.3133\/ds832"},{"key":"ref_24","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_25","unstructured":"Tan, J., and Huffman, G.J. (2019). Computing Morphing Vectors for Version 06 IMERG."},{"key":"ref_26","first-page":"115270G","article-title":"The Lake Poop\u00f3 crisis: Satellite data as an essential tool for the sustainable planning of water resource and land use","volume":"Volume 11527","year":"2020","journal-title":"Space, Satellites, and Sustainability"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Satg\u00e9, F., Xavier, A., Pillco Zol\u00e1, R., Hussain, Y., Timouk, F., Garnier, J., and Bonnet, M.-P. (2017). Comparative assessments of the latest GPM mission\u2019s spatially enhanced satellite rainfall products over the main Bolivian watersheds. Remote Sens., 9.","DOI":"10.3390\/rs9040369"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Evia, J.L., Urquiola, M.S., Andersen, L., Antelo, E., and Nina, O. (1999). Geography and Development in Bolivia: Migration, Urban and Industrial Concentration, Welfare, and Convergence: 1950\u20131992, IDB.","DOI":"10.2139\/ssrn.1814660"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1519","DOI":"10.1007\/s00704-023-04721-9","article-title":"Evaluating the effectiveness of CHIRPS data for hydroclimatic studies","volume":"155","author":"Du","year":"2024","journal-title":"Theor. Appl. Climatol."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"437","DOI":"10.1175\/WAF-D-19-0122.1","article-title":"Improving seasonal precipitation forecasts for agriculture in the orinoqu\u00eda Region of Colombia","volume":"35","author":"Fernandes","year":"2020","journal-title":"Weather. Forecast."},{"key":"ref_31","first-page":"34526","article-title":"CHIRPS precipitation open data for drought monitoring: Application to the Tensift basin, Morocco","volume":"14","author":"Habitou","year":"2020","journal-title":"J. Appl. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1007\/s13201-022-01705-4","article-title":"Drought monitoring using the long-term CHIRPS precipitation over Southeastern Iran","volume":"12","author":"Mianabadi","year":"2022","journal-title":"Appl. Water Sci."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"823","DOI":"10.1007\/s00703-021-00784-3","article-title":"Assessing current and future spatiotemporal precipitation variability and trends over Uganda, East Africa, based on CHIRPS and regional climate model datasets","volume":"133","author":"Ngoma","year":"2021","journal-title":"Meteorol. Atmos. Phys."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"3913","DOI":"10.1007\/s11269-019-02340-6","article-title":"Evaluating the performance of CHIRPS satellite rainfall data for streamflow forecasting","volume":"33","author":"Sulugodu","year":"2019","journal-title":"Water Resour. Manag."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1002\/wwp2.12090","article-title":"Spatiotemporal variation of rainfall and its implications on water resources management: The case of Manyame River catchment in Zimbabwe","volume":"9","author":"Murove","year":"2023","journal-title":"World Water Policy"},{"key":"ref_36","first-page":"30","article-title":"NASA global precipitation measurement (GPM) integrated multi-satellite retrievals for GPM (IMERG)","volume":"4","author":"Huffman","year":"2015","journal-title":"Algorithm Theor. Basis Doc. (ATBD) Version"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"6612","DOI":"10.1002\/2017WR021044","article-title":"Predictive performance of rainfall thresholds for shallow landslides in S witzerland from gridded daily data","volume":"53","author":"Leonarduzzi","year":"2017","journal-title":"Water Resour. Res."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"101269","DOI":"10.1016\/j.ejrh.2022.101269","article-title":"Spatio-temporal performance evaluation of 14 global precipitation estimation products across river basins in southwest Iran","volume":"44","author":"Ziveh","year":"2022","journal-title":"J. Hydrol. Reg. Stud."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"2915","DOI":"10.5194\/hess-23-2915-2019","article-title":"Performance of bias-correction schemes for CMORPH rainfall estimates in the Zambezi River basin","volume":"23","author":"Gumindoga","year":"2019","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"805","DOI":"10.1007\/s10333-018-0671-x","article-title":"Teleconnection of rainfall time series in the central Nile Basin with sea surface temperature","volume":"16","author":"Yasuda","year":"2018","journal-title":"Paddy Water Environ."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"3077","DOI":"10.1007\/s00704-019-02796-x","article-title":"Prediction of summer rainfall over the source region of the Blue Nile by using teleconnections based on sea surface temperatures","volume":"137","author":"Alhamshry","year":"2019","journal-title":"Theor. Appl. Climatol."},{"key":"ref_42","unstructured":"McKee, T.B., Doesken, N.J., and Kleist, J. (1993, January 17\u201322). The relationship of drought frequency and duration to time scales. Proceedings of the 8th Conference on Applied Climatology, Anaheim, CA, USA."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"3024","DOI":"10.1002\/joc.4190","article-title":"Spatio-temporal variability of droughts in Bolivia: 1955\u20132012","volume":"35","author":"Chura","year":"2015","journal-title":"Int. J. Climatol."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Quispe, L.A., Paxi, E., and Lujano, E. (2023). Evaluation of GPM IMERG Performance Over the Lake Titicaca Basin at Different Time Scales. Environ. Sci. Proc., 25.","DOI":"10.3390\/ECWS-7-14324"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"112754","DOI":"10.1016\/j.rse.2021.112754","article-title":"Review of GPM IMERG performance: A global perspective","volume":"268","author":"Pradhan","year":"2022","journal-title":"Remote Sens. Environ."},{"key":"ref_46","first-page":"1","article-title":"Assessment of the GPM IMERG and CHIRPS precipitation estimations for the steppe region of Crimea","volume":"9","author":"Popovych","year":"2021","journal-title":"Meteorol. Hydrol. Water Management. Res. Oper. Appl."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"e12338","DOI":"10.1002\/eng2.12338","article-title":"Evaluation of climate hazards group infrared precipitation station (CHIRPS) satellite-based rainfall estimates over Finchaa and Neshe Watersheds, Ethiopia","volume":"3","author":"Geleta","year":"2021","journal-title":"Eng. Rep."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"103184","DOI":"10.1016\/j.pce.2022.103184","article-title":"Validation of the accuracy of the CHIRPS precipitation dataset at representing climate variability in a tropical mountainous region of South America","volume":"127","author":"Montoya","year":"2022","journal-title":"Phys. Chem. Earth Parts A\/B\/C"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"35","DOI":"10.23881\/idupbo.018.1-3i","article-title":"Evaluaci\u00f3n de la precipitaci\u00f3n distribuida en la cuenca katari basado en tecnolog\u00eda satelital y productos derivados","volume":"18","author":"Vallejos","year":"2018","journal-title":"Investig. Desarro."},{"key":"ref_50","first-page":"237","article-title":"TRMM 2A12 land precipitation product-status and future plans","volume":"87","author":"Wang","year":"2009","journal-title":"Meteorol. J."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"5965","DOI":"10.1080\/01431161.2010.499381","article-title":"Challenges of satellite rainfall estimation over mountainous and arid parts of east Africa","volume":"32","author":"Dinku","year":"2011","journal-title":"Int. J. Remote Sens."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/12\/2211\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T15:00:36Z","timestamp":1760108436000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/12\/2211"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,18]]},"references-count":51,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2024,6]]}},"alternative-id":["rs16122211"],"URL":"https:\/\/doi.org\/10.3390\/rs16122211","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2024,6,18]]}}}