86 citations as recorded by crossref.

1. Uncertainty quantification of multi-source hydrological data products for the improvement of water budget estimations in small-scale Sakarya basin, Turkey G. Kayan et al. https://doi.org/10.1080/02626667.2022.2093642
2. Precipitation Retrieval Using 118.75-GHz and 183.31-GHz Channels From MWHTS on FY-3C Satellite N. Li et al. https://doi.org/10.1109/JSTARS.2018.2873255
3. Drought impact in the Bolivian Altiplano agriculture associated with the El Niño–Southern Oscillation using satellite imagery data C. Canedo-Rosso et al. https://doi.org/10.5194/nhess-21-995-2021
4. Observations and Simulated Mechanisms of Elevation-Dependent Warming over the Tropical Andes O. Chimborazo et al. https://doi.org/10.1175/JCLI-D-21-0379.1
5. A Comparative Assessment of Advanced Bias Correction Methods for GPM IMERG in Banjir Kanal Timur Watershed R. Lufira et al. https://doi.org/10.48084/etasr.15484
6. Evaluation of post-retrieval de-noising of active and passive microwave satellite soil moisture C. Su et al. https://doi.org/10.1016/j.rse.2015.03.010
7. Exploratory Assessment of Short-Term Antecedent Modeled Flow Memory in Shaping Macroinvertebrate Diversity: Integrating Satellite-Derived Precipitation and Rainfall-Runoff Modeling in a Remote Andean Micro-Catchment G. Sotomayor et al. https://doi.org/10.3390/biology15030257
8. An ensemble-based dynamic Bayesian averaging approach for discharge simulations using multiple global precipitation products and hydrological models W. Qi et al. https://doi.org/10.1016/j.jhydrol.2018.01.026
9. Evaluation of gridded meteorological datasets and their potential hydrological application to a humid area with scarce data for Pirapama River basin, northeastern Brazil J. Viana et al. https://doi.org/10.1007/s00704-021-03628-7
10. Valley–Mountain Circulation Associated with the Diurnal Cycle of Precipitation in the Tropical Andes (Santa River Basin, Peru) A. Rosales et al. https://doi.org/10.3390/atmos13020344
11. Comparison of quiet-time ionospheric total electron content from the IRI-2016 model and from gridded and station-level GPS observations G. Mengistu Tsidu & M. Melaku Zegeye https://doi.org/10.5194/angeo-38-725-2020
12. Landslide Occurrence Analysis in a Data-Scarce Region: The Northern Andes of Ecuador A. Rivera & L. Pineda https://doi.org/10.3390/geohazards7040108
13. Susceptibility assessment of rainfall induced debris flow zones in Ladakh–Nubra region, Indian Himalaya H. Negi et al. https://doi.org/10.1007/s12040-019-1277-4
14. Rainfall monitoring network design using conditioned Latin hypercube sampling and satellite precipitation estimates: An application in the ungauged Ecuadorian Amazon J. Contreras et al. https://doi.org/10.1002/joc.5946
15. New Statistical Methods for Precipitation Bias Correction Applied to WRF Model Simulations in the Antisana Region, Ecuador M. Heredia et al. https://doi.org/10.1175/JHM-D-18-0032.1
16. An application of sample entropy to precipitation in Paraíba State, Brazil S. Xavier et al. https://doi.org/10.1007/s00704-018-2496-3
17. High Impact Weather Events in the Andes G. Poveda et al. https://doi.org/10.3389/feart.2020.00162
18. Assessing the potential and hydrological usefulness of the CHIRPS precipitation dataset over a complex topography in Pakistan M. Shahid et al. https://doi.org/10.1080/02626667.2021.1957476
19. Comparison of satellite remote sensing derived precipitation estimates and observed data in Kenya J. Macharia et al. https://doi.org/10.1016/j.agrformet.2019.107875
20. Flood Inundation Mapping of the Sparsely Gauged Large-Scale Brahmaputra Basin Using Remote Sensing Products B. Bhattacharya et al. https://doi.org/10.3390/rs11050501
21. Performance analysis of TRMM satellite in precipitation estimation for the Itapemirim River basin, Espirito Santo state, Brazil K. de Almeida et al. https://doi.org/10.1007/s00704-020-03204-5
22. A spatiotemporal teleconnection study between Peruvian precipitation and oceanic oscillations B. Mohammadi et al. https://doi.org/10.1016/j.quaint.2020.09.042
23. Multisite Downscaling of Seasonal Predictions to Daily Rainfall Characteristics over Pacific–Andean River Basins in Ecuador and Peru Using a Nonhomogeneous Hidden Markov Model L. Pineda & P. Willems https://doi.org/10.1175/JHM-D-15-0040.1
24. Are urban impacts on heavy rainfall amplified in mountainous regions? D. Urdiales-Flores et al. https://doi.org/10.1088/1748-9326/ae38f9
25. Understanding the influence of orography on the precipitation diurnal cycle and the associated atmospheric processes in the central Andes C. Junquas et al. https://doi.org/10.1007/s00382-017-3858-8
26. Evaluation of gridded precipitation data in the Hindu Kush–Karakoram–Himalaya mountainous area S. Hussain et al. https://doi.org/10.1080/02626667.2017.1384548
27. Ground and satellite based assessment of meteorological droughts: The Coello river basin case study A. Cruz-Roa et al. https://doi.org/10.1016/j.jag.2017.06.005
28. Assessment of satellite rainfall products over the Andean plateau F. Satgé et al. https://doi.org/10.1016/j.atmosres.2015.07.012
29. An Appraisal of Dynamic Bayesian Model Averaging-based Merged Multi-Satellite Precipitation Datasets Over Complex Topography and the Diverse Climate of Pakistan K. Ur Rahman et al. https://doi.org/10.3390/rs12010010
30. Evaluation of Near Real-Time Global Precipitation Measurement (GPM) Precipitation Products for Hydrological Modelling and Flood Inundation Mapping of Sparsely Gauged Large Transboundary Basins—A Case Study of the Brahmaputra Basin M. Jawad et al. https://doi.org/10.3390/rs16101756
31. Development of rainfall intensity-duration-frequency curves for the Fiji Islands: integrating TRMM-3B42 and measured gauge data with future projections S. De Zoysa et al. https://doi.org/10.1080/27669645.2023.2278827
32. Evaluation of precipitation estimates over CONUS derived from satellite, radar, and rain gauge data sets at daily to annual scales (2002–2012) O. Prat & B. Nelson https://doi.org/10.5194/hess-19-2037-2015
33. Evaluation of global fine-resolution precipitation products and their uncertainty quantification in ensemble discharge simulations W. Qi et al. https://doi.org/10.5194/hess-20-903-2016
34. TRMM Satellite Algorithm Estimates to Represent the Spatial Distribution of Rainstorms M. Patrick et al. https://doi.org/10.1051/matecconf/20178701006
35. A novel high-resolution gridded precipitation dataset for Peruvian and Ecuadorian watersheds – development and hydrological evaluation https://doi.org/10.1175/JHM-D-20-0285.1
36. Satellite Rainfall (TRMM 3B42-V7) Performance Assessment and Adjustment over Pahang River Basin, Malaysia S. Mohd Zad et al. https://doi.org/10.3390/rs10030388
37. Performance of bias corrected MPEG rainfall estimate for rainfall-runoff simulation in the upper Blue Nile Basin, Ethiopia A. Worqlul et al. https://doi.org/10.1016/j.jhydrol.2017.01.058
38. Comparative Ground Validation of IMERG and TMPA at Variable Spatiotemporal Scales in the Tropical Andes B. Manz et al. https://doi.org/10.1175/JHM-D-16-0277.1
39. Comparative Assessments of the Latest GPM Mission’s Spatially Enhanced Satellite Rainfall Products over the Main Bolivian Watersheds F. Satgé et al. https://doi.org/10.3390/rs9040369
40. Aerosol-enhanced high precipitation events near the Himalayan foothills G. Choudhury et al. https://doi.org/10.5194/acp-20-15389-2020
41. Recent progress in atmospheric modeling over the Andes – part I: review of atmospheric processes J. Martinez et al. https://doi.org/10.3389/feart.2024.1427783
42. Performance Evaluation of Three Satellites-Based Precipitation Data Sets Over Iran M. Miri et al. https://doi.org/10.1007/s12524-019-01053-y
43. Spatial functional data analysis for regionalizing precipitation seasonality and intensity in a sparsely monitored region: Unveiling the spatio‐temporal dependencies of precipitation in Ecuador D. Ballari et al. https://doi.org/10.1002/joc.5504
44. The Distribution of Precipitation and Rain Days over the Tianshan Mountains in Northwest of China C. Zhao et al. https://doi.org/10.1088/1755-1315/428/1/012063
45. Evaluation of Satellite Precipitation Products in Simulating Streamflow in a Humid Tropical Catchment of India Using a Semi-Distributed Hydrological Model T. Sharannya et al. https://doi.org/10.3390/w12092400
46. Evaluation of Monthly Precipitation Products in Southern Ecuador Across Basins, Climate Regimes, and Seasons Under Complex Terrain J. Contreras et al. https://doi.org/10.1007/s41976-026-00303-1
47. SIMULATION AND PRECIPITATION DETECTION IN THE TROPICAL CYCLONES BASED ON THE MICROWAVE HUMIDITY AND TEMPERATURE SOUNDER ONBOARD THE FENGYUN-3C SATELLITE N. Li et al. https://doi.org/10.2528/PIERC18101404
48. Evaluation of error in TRMM 3B42V7 precipitation estimates over the Himalayan region V. Bharti & C. Singh https://doi.org/10.1002/2015JD023779
49. An evaluation and regional error modeling methodology for near-real-time satellite rainfall data over Australia R. Pipunic et al. https://doi.org/10.1002/2015JD023512
50. Regional climate modeling of the diurnal cycle of precipitation and associated atmospheric circulation patterns over an Andean glacier region (Antisana, Ecuador) C. Junquas et al. https://doi.org/10.1007/s00382-021-06079-y
51. Evaluation of Five Satellite-Based Precipitation Products in Two Gauge-Scarce Basins on the Tibetan Plateau P. Bai & X. Liu https://doi.org/10.3390/rs10081316
52. A decision-making model for flood warning system based on ensemble forecasts L. Goodarzi et al. https://doi.org/10.1016/j.jhydrol.2019.03.040
53. Assessment of Precipitation Data Generated by GPM and TRMM Satellites L. Silva Lelis et al. https://doi.org/10.1590/0102-7786331004
54. Comparison and Bias Correction of TMPA Precipitation Products over the Lower Part of Red–Thai Binh River Basin of Vietnam H. Le et al. https://doi.org/10.3390/rs10101582
55. Development of intensity-duration-frequency curves for Sri Lanka using satellite-based precipitation products – Understanding environmental conditions and concerns S. Zoysa et al. https://doi.org/10.1016/j.cscee.2024.100713
56. Generating high-resolution climate data in the Andes using artificial intelligence: A lightweight alternative to the WRF model C. Carhuancho et al. https://doi.org/10.1016/j.aiig.2025.100143
57. A new downscaling-integration framework for high-resolution monthly precipitation estimates: Combining rain gauge observations, satellite-derived precipitation data and geographical ancillary data Y. Chen et al. https://doi.org/10.1016/j.rse.2018.05.021
58. Uydu Kaynaklı Yağmur Verilerinin Hata Oranlarının Deniz Kıyılarına Olan Uzaklığa Bağlı Analizi M. Yılmaz et al. https://doi.org/10.18400/tekderg.306970
59. Ground validation ofTRMM 3B43 V7precipitation estimates over Colombia. Part I: Monthly and seasonal timescales S. Vallejo‐Bernal et al. https://doi.org/10.1002/joc.6640
60. Evaluation of high-resolution satellite products for streamflow and water quality assessment in a Southeastern US watershed A. Alnahit et al. https://doi.org/10.1016/j.ejrh.2019.100660
61. Adaptation of satellite-based precipitation product to study runoff and sediment of Indian River watersheds L. Singh & S. Saravanan https://doi.org/10.1007/s12517-022-09610-5
62. A multi-parameter method to quantify the potential of roof rainwater harvesting at regional levels in areas with limited rainfall data F. Chapa et al. https://doi.org/10.1016/j.resconrec.2020.104959
63. Performance of CMORPH, TMPA, and PERSIANN rainfall datasets over plain, mountainous, and glacial regions of Pakistan Y. Hussain et al. https://doi.org/10.1007/s00704-016-2027-z
64. Identifying spatiotemporal propagation of droughts in the agro-pastoral ecotone of northern China with long-term WRF simulations X. Wang et al. https://doi.org/10.1016/j.agrformet.2023.109474
65. The Impact of Spatial Resolution, Land Use, and Spinup Time on Resolving Spatial Precipitation Patterns in the Himalayas P. Bonekamp et al. https://doi.org/10.1175/JHM-D-17-0212.1
66. A quasi‐global assessment of changes in remotely sensed rainfall extremes with temperature C. Wasko et al. https://doi.org/10.1002/2016GL071354
67. Assessment of Variability of Rainfall Erosivity Using Different Rainfall Products R. Akhila & S. Pramada https://doi.org/10.1007/s11269-025-04289-1
68. Precision of raw and bias-adjusted satellite precipitation estimations (TRMM, IMERG, CMORPH, and PERSIANN) over extreme flood events: case study in Langat river basin, Malaysia E. Soo et al. https://doi.org/10.2166/wcc.2020.180
69. Adequacy of TRMM satellite rainfall data in driving the SWAT modeling of Tiaoxi catchment (Taihu lake basin, China) D. Li et al. https://doi.org/10.1016/j.jhydrol.2017.01.006
70. Hydrological evaluation of gridded climate datasets in a texas urban watershed using soil and water assessment tool and artificial neural network X. Mei et al. https://doi.org/10.3389/fenvs.2022.905774
71. Developing an Ensemble Precipitation Algorithm from Satellite Products and Its Topographical and Seasonal Evaluations Over Pakistan K. Rahman et al. https://doi.org/10.3390/rs10111835
72. Precipitation trends analysis by Mann-Kendall test: a case study of Paraíba, Brazil S. Xavier Júnior et al. https://doi.org/10.1590/0102-7786351013
73. Ensemble data-driven rainfall-runoff modeling using multi-source satellite and gauge rainfall data input fusion V. Nourani et al. https://doi.org/10.1007/s12145-021-00615-4
74. Benefits of the Successive GPM Based Satellite Precipitation Estimates IMERG–V03, –V04, –V05 and GSMaP–V06, –V07 Over Diverse Geomorphic and Meteorological Regions of Pakistan F. Satgé et al. https://doi.org/10.3390/rs10091373
75. Spatio-temporal assessment of WRF, TRMM and in situ precipitation data in a tropical mountain environment (Cordillera Blanca, Peru) L. Mourre et al. https://doi.org/10.5194/hess-20-125-2016
76. A Spatiotemporal Classification of the Peruvian Precipitations Between 1990 and 2015 B. Vaheddoost https://doi.org/10.1007/s00024-020-02454-8
77. Streamflow forecasts from WRF precipitation for flood early warning in mountain tropical areas M. Rogelis & M. Werner https://doi.org/10.5194/hess-22-853-2018
78. Evaluating the consistency of the TRMM over the rain gauge for drought monitoring in the semi-arid region of Karnataka, India, using statistical methods S. Kumar et al. https://doi.org/10.1039/D2VA00113F
79. Validity, reliability and certainty of PERSIANN and TRMM satellite-derived daily precipitation data in arid and semiarid climates K. Khojand et al. https://doi.org/10.1007/s11600-022-00801-y
80. Geospatial blending to improve spatial mapping of precipitation with high spatial resolution by merging satellite-based and ground-based data B. Jongjin et al. https://doi.org/10.1002/hyp.10786
81. Construction of a high-resolution gridded rainfall dataset for Peru from 1981 to the present day C. Aybar et al. https://doi.org/10.1080/02626667.2019.1649411
82. Climatological and Hydrological Observations for the South American Andes: In situ Stations, Satellite, and Reanalysis Data Sets T. Condom et al. https://doi.org/10.3389/feart.2020.00092
83. Effects of climate, land cover and topography on soil erosion risk in a semiarid basin of the Andes P. Ochoa et al. https://doi.org/10.1016/j.catena.2016.01.011
84. Evaluation of the Impacts of Rain Gauge Density and Distribution on Gauge-Satellite Merged Precipitation Estimates Y. Chen et al. https://doi.org/10.1109/TGRS.2020.3037099
85. Evaluation of multisatellite precipitation products by use of ground‐based data over China A. Huang et al. https://doi.org/10.1002/2016JD025456
86. Consistency of satellite-based precipitation products in space and over time compared with gauge observations and snow- hydrological modelling in the Lake Titicaca region F. Satgé et al. https://doi.org/10.5194/hess-23-595-2019