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A global satellite-assisted precipitation climatology
Open accessAbstract
Abstract. Accurate representations of mean climate conditions, especially in areas of complex terrain, are an important part of environmental monitoring systems. As high-resolution satellite monitoring information accumulates with the passage of time, it can be increasingly useful in efforts to better characterize the earth's mean climatology. Current state-of-the-science products rely on complex and sometimes unreliable relationships between elevation and station-based precipitation records, which can result in poor performance in food and water insecure regions with sparse observation networks. These vulnerable areas (like Ethiopia, Afghanistan, or Haiti) are often the critical regions for humanitarian drought monitoring. Here, we show that long period of record geo-synchronous and polar-orbiting satellite observations provide a unique new resource for producing high-resolution (0.05°) global precipitation climatologies that perform reasonably well in data-sparse regions. Traditionally, global climatologies have been produced by combining station observations and physiographic predictors like latitude, longitude, elevation, and slope. While such approaches can work well, especially in areas with reasonably dense observation networks, the fundamental relationship between physiographic variables and the target climate variables can often be indirect and spatially complex. Infrared and microwave satellite observations, on the other hand, directly monitor the earth's energy emissions. These emissions often correspond physically with the location and intensity of precipitation. We show that these relationships provide a good basis for building global climatologies. We also introduce a new geospatial modeling approach based on moving window regressions and inverse distance weighting interpolation. This approach combines satellite fields, gridded physiographic indicators, and in situ climate normals. The resulting global 0.05° monthly precipitation climatology, the Climate Hazards Group's Precipitation Climatology version 1 (CHPclim v.1.0, doi:10.15780/G2159X), is shown to compare favorably with similar global climatology products, especially in areas with complex terrain and low station densities.
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Schneider, U., Becker, A., Finger, P., Meyer-Christoffer, A., Ziese, M., & Rudolf, B. (2014) · Theoretical and Applied Climatology · doi:10.1007/s00704-013-0860-x · Cited by 1,385
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High-resolution (1 km) Köppen-Geiger maps for 1901–2099 based on constrained CMIP6 projections
Beck, H. E., McVicar, T. R., Vergopolan, N., Berg, A., Lutsko, N. J., Dufour, A., Zeng, Z., Jiang, X., van Dijk, A. I. J. M., & Miralles, D. G. (2023) · Scientific Data · doi:10.1038/s41597-023-02549-6 · Cited by 917
A land data assimilation system for sub-Saharan Africa food and water security applications
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Detecting local risk factors for residual malaria in northern Ghana using Bayesian model averaging
Millar, J., Psychas, P., Abuaku, B., Ahorlu, C., Amratia, P., Koram, K., Oppong, S., & Valle, D. (2018) · Malaria Journal · doi:10.1186/s12936-018-2491-2 · Cited by 27
Metadata
- Authors
- Funk, C., Verdin, A., Michaelsen, J., Peterson, P., Pedreros, D., & Husak, G.
- Venue
- Earth System Science Data
- Publisher
- Copernicus GmbH
- Published
- 2015-10-13
- Volume
- 7
- Issue
- 2
- Pages
- 275-287
- ISSN
- 1866-3508 (ISSN-L)
- 1866-3516
- OpenAlex
- W2104027063
- Cited by
- 307
- References
- 1
- FWCI
- 11.45
- Type
- journal article
- Language
- en
- Open access
- gold
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- Funk, C., Verdin, A., Michaelsen, J., Peterson, P., Pedreros, D., & Husak, G. (2015). A global satellite-assisted precipitation climatology. Earth System Science Data. https://doi.org/10.5194/essd-7-275-2015
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