The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
A Review of Merged High-Resolution Satellite Precipitation Product Accuracy during the Tropical Rainfall Measuring Mission (TRMM) Era
Open accessAbstract
A great deal of expertise in satellite precipitation estimation has been developed during the Tropical Rainfall Measuring Mission (TRMM) era (1998–2015). The quantification of errors associated with satellite precipitation products (SPPs) is crucial for a correct use of these datasets in hydrological applications, climate studies, and water resources management. This study presents a review of previous work that focused on validating SPPs for liquid precipitation during the TRMM era through comparisons with surface observations, both in terms of mean errors and detection capabilities across different regions of the world. Several SPPs have been considered: TMPA 3B42 (research and real-time products), CPC morphing technique (CMORPH), Global Satellite Mapping of Precipitation (GSMaP; both the near-real-time and the Motion Vector Kalman filter products), PERSIANN, and PERSIANN–Cloud Classification System (PERSIANN-CCS). Topography, seasonality, and climatology were shown to play a role in the SPP’s performance, especially in terms of detection probability and bias. Regions with complex terrain exhibited poor rain detection and magnitude-dependent mean errors; low probability of detection was reported in semiarid areas. Winter seasons, usually associated with lighter rain events, snow, and mixed-phase precipitation, showed larger biases.
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Huffman, G. J., Bolvin, D. T., Nelkin, E. J., Wolff, D. B., Adler, R. F., Gu, G., Hong, Y., Bowman, K. P., & Stocker, E. F. (2007) · Journal of Hydrometeorology · doi:10.1175/jhm560.1 · Cited by 6,767
Joyce, R. J., Janowiak, J. E., Arkin, P. A., & Xie, P. (2004) · Journal of Hydrometeorology · doi:10.1175/1525-7541(2004)005<0487:camtpg>2.0.co;2 · Cited by 3,208
Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks
Hsu, K.-L., Gao, X., Sorooshian, S., & Gupta, H. V. (1997) · Journal of Applied Meteorology · doi:10.1175/1520-0450(1997)036<1176:pefrsi>2.0.co;2 · Cited by 1,096
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Rain-Profiling Algorithm for the TRMM Precipitation Radar
Iguchi, T., Kozu, T., Meneghini, R., Awaka, J., & Okamoto, K. (2000) · Journal of Applied Meteorology · doi:10.1175/1520-0450(2001)040<2038:rpaftt>2.0.co;2 · Cited by 989
The TRMM Multi-Satellite Precipitation Analysis (TMPA)
Huffman, G. J., Adler, R. F., Bolvin, D. T., & Nelkin, E. J. (2010) · Satellite Rainfall Applications for Surface Hydrology · doi:10.1007/978-90-481-2915-7_1 · Cited by 875
Hong, Y., Hsu, K.-L., Sorooshian, S., & Gao, X. (2004) · Journal of Applied Meteorology · doi:10.1175/jam2173.1 · Cited by 851
Kubota, T., Shige, S., Hashizume, H., Aonashi, K., Takahashi, N., Seto, S., Hirose, M., Takayabu, Y. N., Ushio, T., Nakagawa, K., et al. (2007) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2007.895337 · Cited by 844
Validation of satellite rainfall products over East Africa's complex topography
Dinku, T., Ceccato, P., Grover‐Kopec, E., Lemma, M., Connor, S. J., & Ropelewski, C. F. (2007) · International Journal of Remote Sensing · doi:10.1080/01431160600954688 · Cited by 654
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Cited by
MSWEP V2 Global 3-Hourly 0.1° Precipitation: Methodology and Quantitative Assessment
Beck, H. E., Wood, E. F., Pan, M., Fisher, C. K., Miralles, D. G., van Dijk, A. I. J. M., McVicar, T. R., & Adler, R. F. (2019) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-17-0138.1 · Cited by 1,411
Nogueira, M. (2020) · Journal of Hydrology · doi:10.1016/j.jhydrol.2020.124632 · Cited by 279
Engel, T., Fink, A. H., Knippertz, P., Pante, G., & Bliefernicht, J. (2017) · Journal of Hydrometeorology · doi:10.1175/jhm-d-16-0218.1 · Cited by 86
Metadata
- Authors
- Maggioni, V., Meyers, P. C., & Robinson, M. D.
- Venue
- Journal of Hydrometeorology
- Publisher
- American Meteorological Society
- Published
- 2016-04
- Volume
- 17
- Issue
- 4
- Pages
- 1101-1117
- ISSN
- 1525-7541 (ISSN-L)
- 1525-755X
- OpenAlex
- W2260021327
- Cited by
- 448
- References
- 46
- FWCI
- 27.77
- Type
- journal article
- Language
- en
- Open access
- green
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