1 |
Adler, R.F., G.J. Huffman, A. Chang, R. Ferraro, P.P. Xie, J. Janowiak, B. Rudolf, U. Schneider, S. Curtis, D. Bolvin, A. Gruber, J. Susskind, P. Arkin, and E. Nelkin, 2003. The version-2 global precipitation climatology project (GPCP) monthly precipitation analysis (1979-present), Journal of Hydrometeorology, 4(6): 1147-1167.
DOI
|
2 |
Alexakis, D.D. and I.K. Tsanis, 2016. Comparison of multiple linear regression and artificial neural network models for downscaling TRMM precipitation products using MODIS data, Environmental Earth Sciences, 75(14): 1077.
DOI
|
3 |
Amitai, E., L. Liao, X. Llort, and R. Meneghini, 2005. Accuracy verification of spaceborne radar estimates of rain rate, Atmospheric Science Letters, 6(1): 2-6.
DOI
|
4 |
Arkin, P.A. and B.N. Meisner, 1987. The relationship between large-scale convective rainfall and cold cloud over the western hemisphere during 1982-1984, Monthly Weather Review, 115(1): 51-74.
DOI
|
5 |
Bae, D.H., J.H. Kim, and S.S. Yoon, 2005. Hydrologic Utilization of Radar-Derived Rainfall (I): Optimal Radar Rainfall Estimation, Korea Water Resources Association, 38(12): 1039-1049 (in Korean with English abstract).
DOI
|
6 |
Baik, J. and M. Choi, 2015. Spatio-temporal variability of remotely sensed precipitation data from COMS and TRMM: Case study of Korean peninsula in East Asia, Advances in Space Research, 56(6): 1125-1138.
DOI
|
7 |
Brocca, L., T. Moramarco, F. Melone, and W. Wagner, 2013. A new method for rainfall estimation through soil moisture observations, Geophysical Research Letters, 40(5): 853-858.
DOI
|
8 |
Brocca, L., C. Massari, L. Ciabatta, T. Moramarco, D. Penna, G. Zuecco, L. Pianezzola, M. Borga, P. Matgen, and J. Martinez-Fernandez, 2015. Rainfall estimation from in situ soil moisture observations at several sites in Europe: an evaluation of the SM2RAIN algorithm, Journal of Hydrology and Hydromechanics, 63(3): 201-209.
DOI
|
9 |
Collischonn, B., W. Collischonn, and C.E.M. Tucci, 2008. Daily hydrological modeling in the Amazon basin using TRMM rainfall estimates, Journal of Hydrology, 360(1-4): 207-216.
DOI
|
10 |
Cheng, F., J. Zhang, J. He, Y. Zha, Q. Li, and Y. Li, 2017. Analysis of aerosol-cloud-precipitation interactions based on MODIS data, Advances in Space Research, 59(1): 63-73.
DOI
|
11 |
Crow, W.T., G.J. Huffman, R. Bindlish, and T.J. Jackson, 2009. Improving satellite-based rainfall accumulation estimates using spaceborne surface soil moisture retrievals, Journal of Hydrometeorology, 10(1): 199-212.
DOI
|
12 |
Duan, Z. and W.G.M. Bastiaanssen, 2013. First results from Version 7 TRMM 3B43 precipitation product in combination with a new downscaling-calibration procedure, Remote Sensing of Environment, 131: 1-13.
DOI
|
13 |
Ebert, E.E., J.E. Janowiak, and C. Kidd, 2007. Comparison of near-real-time precipitation estimates from satellite observations and numerical models, Bulletin of the American Meteorological Society, 88(1): 47-64.
DOI
|
14 |
El Kenawy, A.M., J.I. Lopez-Moreno, M.F. McCabe, and S.M. Vicente-Serrano, 2015. Evaluation of the TMPA-3B42 precipitation product using a high-density rain gauge network over complex terrain in northeastern Iberia, Global and Planetary Change, 133: 188-200.
DOI
|
15 |
Sharifi, E., B. Saghafian, and R. Steinacker, 2019. Downscaling satellite precipitation estimates with multiple linear regression, artificial neural networks, and spline interpolation techniques, Journal of Geophysical Research: Atmospheres, 124(2): 789-805.
DOI
|
16 |
Fang, J., J. Du, W. Xu, P. Shi, M. Li, and X. Ming, 2013. Spatial downscaling of TRMM precipitation data based on the orographical effect and meteorological conditions in a mountainous area, Advances in Water Resources, 61: 42-50.
DOI
|
17 |
Guo, J., X. Liang, and L.R. Leung, 2004. Impacts of different precipitation data sources on water budgets, Journal of Hydrology, 298(1-4): 311-334.
DOI
|
18 |
Marchant, B., S. Platnick, K. Meyer, and G. Wind, 2020. Evaluation of the MODIS Collection 6 multilayer cloud detection algorithm through comparisons with CloudSat Cloud Profiling Radar and CALIPSO CALIOP products, Atmospheric Measurement Techniques, 13(6): 3263-3275.
DOI
|
19 |
Morris, C.J.G., I. Simmonds, and N. Plummer, 2001. Quantification of the influences of wind and cloud on the nocturnal urban heat island of a large city, Journal of Applied Meteorology, 40(2): 169-182.
DOI
|
20 |
Romatschke, U. and R.A. Houze Jr, 2011. Characteristics of precipitating convective systems in the premonsoon season of South Asia, Journal of Hydrometeorology, 12(2): 157-180.
DOI
|
21 |
Skofronick-Jackson, G., W.A. Petersen, W. Berg, C. Kidd, E.F. Stocker, D.B. Kirschbaum, R. Kakar, S.A. Braun, G.J. Huffman, T. Iguchi, P.E. Kirstetter, C. Kummerow, R. Meneghini, R. Oki, W.S. Olson, Y.N. Takayabu, K. Furukawa, and T. Wilheit, 2017. The Global Precipitation Measurement (GPM) mission for science and society, Bulletin of the American Meteorological Society, 98(8): 1679-1695.
DOI
|
22 |
Immerzeel, W.W., M.M. Rutten, and P. Droogers, 2009. Spatial downscaling of TRMM precipitation using vegetative response on the Iberian Peninsula, Remote Sensing of Environment, 113(2): 362-370.
DOI
|
23 |
Hou, A.Y., R.K. Kakar, S. Neeck, A.A. Azarbarzin, C.D. Kummerow, M. Kojima, R. Oki, K. Nakamura, and T. Iguchi, 2014. The global precipitation measurement mission, Bulletin of the American Meteorological Society, 95(5): 701-722.
DOI
|
24 |
Huffman, G.J., R.F. Adler, D.T. Bolvin, G. Gu, E.J. Nelkin, K.P. Bowman, Y. Hong, E.F. Stocker, and E.F. Wolff, 2007. The TRMM multisatellite precipitation analysis (TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales, Journal of Hydrometeorology, 8(1): 38-55.
DOI
|
25 |
Huffman, G.J., D.T. Bolvin, D. Braithwaite, K. Hsu, R. Joyce, C. Kidd, E.J. Nelkin, S. Sorooshian, J. Tan, and P. Xie, 2015. NASA global precipitation measurement (GPM) integrated multi-satellite retrievals for GPM (IMERG), Algorithm Theoretical Basis Document (ATBD) Version, 4: 26.
|
26 |
Jung, S.H., K.E. Kim, and K.J. Ha, 2005. Real-Time Estimation of Improved Radar Rainfall Intensity using Rainfall Intensity measured by Rain Gauges, Asia-Pacific Journal of Atmospheric Sciences, 41(5): 751-762 (in Korean with English abstract).
|
27 |
Koo, M.S., S.Y. Hong, and J. Kim, 2009. An evaluation of the tropical rainfall measuring mission (TRMM) multi-satellite precipitation analysis (TMPA) data over South Korea, Asia-Pacific Journal of Atmospheric Sciences, 45(3): 265-282.
|
28 |
Sohn, B., G.H. Ryu, H.J. Song, and M.L. Ou, 2013. Characteristic features of warm-type rain producing heavy rainfall over the Korean Peninsula inferred from TRMM measurements, Monthly Weather Review, 141(11): 3873-3888.
DOI
|
29 |
Srivastava, P.K., D. Han, M.R. Ramirez, and T. Islam, 2013. Machine learning techniques for downscaling SMOS satellite soil moisture using MODIS land surface temperature for hydrological application, Water Resources Management, 27(8): 3127-3144.
DOI
|
30 |
Kim, K., J. Park, J. Baik, and M. Choi, 2017. Evaluation of topographical and seasonal feature using GPM IMERG and TRMM 3B42 over Far-East Asia, Atmospheric Research, 187: 95-105.
DOI
|
31 |
Langella, G., A. Basile, A. Bonfante, and F. Terribile, 2010. High-resolution space-time rainfall analysis using integrated ANN inference systems. Journal of Hydrology, 387(3-4): 328-342.
DOI
|
32 |
Wehbe, Y., M. Temimi, and R.F. Adler, 2020. Enhancing Precipitation Estimates Through the Fusion of Weather Radar, Satellite Retrievals, and Surface Parameters, Remote Sensing, 12(8): 1342.
DOI
|
33 |
Steinacker, R., M. Ratheiser, B. Bica, B. Chimani, M. Dorninger, W. Gepp, C. Lotteraner, S. Schneider, and S. Tschannett, 2006. A mesoscale data analysis and downscaling method over complex terrain, Monthly Weather Review, 134(10): 2758-2771.
DOI
|
34 |
Sungmin, O., U. Foelsche, G. Kirchengast, J. Fuchsberger, J. Tan, and W.A. Petersen, 2017. Evaluation of GPM IMERG Early, Late, and Final rainfall estimates using WegenerNet gauge data in southeastern Austria, Hydrology & Earth System Sciences, 21(12): 6559-6572.
DOI
|
35 |
Tao, H., T. Fischer, Y. Zeng, and K. Fraedrich, 2016. Evaluation of TRMM 3B43 precipitation data for drought monitoring in Jiangsu Province, China, Water, 8(6): 221.
DOI
|
36 |
Xu, R., F. Tian, L. Yang, H. Hu, H. Lu, and A. Hou, 2017. Ground validation of GPM IMERG and TRMM 3B42V7 rainfall products over southern Tibetan Plateau based on a high-density rain gauge network, Journal of Geophysical Research: Atmospheres, 122(2): 910-924.
DOI
|
37 |
Zeng, X., 1999. The relationship among precipitation, cloud-top temperature, and precipitable water over the tropics, Journal of Climate, 12(8): 2503-2514.
DOI
|
38 |
Zhong, S. and X.Q. Yang, 2015. Ensemble simulations of the urban effect on a summer rainfall event in the Great Beijing Metropolitan Area, Atmospheric Research, 153: 318-334.
DOI
|
39 |
Zhan, C., J. Han, S. Hu, L. Liu, and Y. Dong, 2018. Spatial downscaling of GPM annual and monthly precipitation using regression-based algorithms in a mountainous area, Advances in Meteorology, 2018: 1-14.
|
40 |
Zhang, H., H.A. Loaiciga, D. Ha, and Q. Du, 2020. Spatial and Temporal Downscaling of TRMM Precipitation with Novel Algorithms, Journal of Hydrometeorology, 21(6): 1259-1278.
DOI
|