The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
A new, long-term daily satellite-based rainfall dataset for operational monitoring in Africa
Open accessAbstract
Rainfall information is essential for many applications in developing countries, and yet, continually updated information at fine temporal and spatial scales is lacking. In Africa, rainfall monitoring is particularly important given the close relationship between climate and livelihoods. To address this information gap, this paper describes two versions (v2.0 and v3.0) of the TAMSAT daily rainfall dataset based on high-resolution thermal-infrared observations, available from 1983 to the present. The datasets are based on the disaggregation of 10-day (v2.0) and 5-day (v3.0) total TAMSAT rainfall estimates to a daily time-step using daily cold cloud duration. This approach provides temporally consistent historic and near-real time daily rainfall information for all of Africa. The estimates have been evaluated using ground-based observations from five countries with contrasting rainfall climates (Mozambique, Niger, Nigeria, Uganda, and Zambia) and compared to other satellite-based rainfall estimates. The results indicate that both versions of the TAMSAT daily estimates reliably detects rainy days, but have less skill in capturing rainfall amount—results that are comparable to the other datasets.
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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
Funk, C., Peterson, P., Landsfeld, M., Pedreros, D., Verdin, J., Shukla, S., Husak, G., Rowland, J., Harrison, L., Hoell, A., et al. (2015) · Scientific Data · doi:10.1038/sdata.2015.66 · Cited by 6,362
Influence of extreme weather disasters on global crop production
Lesk, C., Rowhani, P., & Ramankutty, N. (2016) · Nature · doi:10.1038/nature16467 · Cited by 3,883
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
The Joint UK Land Environment Simulator (JULES), model description – Part 1: Energy and water fluxes
Best, M. J., Pryor, M., Clark, D. B., Rooney, G. G., Essery, R. L. H., Ménard, C. B., Edwards, J. M., Hendry, M. A., Porson, A., Gedney, N., et al. (2011) · Geoscientific Model Development · doi:10.5194/gmd-4-677-2011 · Cited by 1,545
Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall
Goovaerts, P. (2000) · Journal of Hydrology · doi:10.1016/s0022-1694(00)00144-x · Cited by 1,544
World population stabilization unlikely this century
Gerland, P., Raftery, A. E., Ševčíková, H., Li, N., Gu, D., Spoorenberg, T., Alkema, L., Fosdick, B. K., Chunn, J., Lalic, N., et al. (2014) · Science · doi:10.1126/science.1257469 · Cited by 1,431
The Status of the Tropical Rainfall Measuring Mission (TRMM) after Two Years in Orbit
Kummerow, C., Simpson, J., Thiele, O., Barnes, W., Chang, A. T. C., Stocker, E., Adler, R. F., Hou, A., Kakar, R., Wentz, F., et al. (2000) · Journal of Applied Meteorology · doi:10.1175/1520-0450(2001)040<1965:tsottr>2.0.co;2 · Cited by 1,235
Clark, D. B., Mercado, L. M., Sitch, S., Jones, C. D., Gedney, N., Best, M. J., Pryor, M., Rooney, G. G., Essery, R. L. H., Blyth, E., et al. (2011) · Geoscientific Model Development · doi:10.5194/gmd-4-701-2011 · Cited by 1,172
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
Cited by
Drivers and impacts of Eastern African rainfall variability
Palmer, P. I., Wainwright, C. M., Dong, B., Maidment, R. I., Wheeler, K. G., Gedney, N., Hickman, J. E., Madani, N., Folwell, S. S., Abdo, G., et al. (2023) · Nature Reviews Earth & Environment · doi:10.1038/s43017-023-00397-x · Cited by 383
Self-citationA comparison of global agricultural monitoring systems and current gaps
Fritz, S., See, L., Bayas, J. C. L., Waldner, F., Jacques, D., Becker-Reshef, I., Whitcraft, A., Baruth, B., Bonifacio, R., Crutchfield, J., et al. (2019) · Agricultural Systems · doi:10.1016/j.agsy.2018.05.010 · Cited by 319
Later Wet Seasons with More Intense Rainfall over Africa under Future Climate Change
Dunning, C. M., Black, E., & Allan, R. P. (2018) · Journal of Climate · doi:10.1175/jcli-d-18-0102.1 · Cited by 266
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Metadata
- Authors
- Maidment, R. I., Grimes, D., Black, E., Tarnavsky, E., Young, M., Greatrex, H., Allan, R. P., Stein, T., Nkonde, E., Senkunda, S., & Alcántara, E. M. U.
- Venue
- Scientific Data
- Published
- 2017-05-23
- Volume
- 4
- Issue
- 1
- Pages
- 170063-170063
- ISSN
- 2052-4463 (ISSN-L)
- OpenAlex
- W2617886432
- Cited by
- 304
- References
- 45
- Type
- data paper
- Language
- en
- Open access
- gold
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- Maidment, R. I., Grimes, D., Black, E., Tarnavsky, E., Young, M., Greatrex, H., Allan, R. P., Stein, T., Nkonde, E., Senkunda, S., & Alcántara, E. M. U. (2017). A new, long-term daily satellite-based rainfall dataset for operational monitoring in Africa. Scientific Data. https://doi.org/10.1038/sdata.2017.63
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