Publication Abstracts

Funk et al. 2021, in press

Funk, C.C., P. Peterson, G.J. Huffman, M.F. Landsfeld, C. Peters-Lidard, F. Davenport, S. Shukla, S. Peterson, D.H. Pedreros, A.C. Ruane, C. Mutter, W. Turner, L. Harrison, A. Sonnier, J. Way-Henthorne, and Husak Gregory J., 2021: Introducing and evaluating the Climate Hazards center IMErg with Stations (CHIMES) — Timely station-enhanced Integrated Multi-satellitE Retrievals for Global Precipitation Measurement. Bull. Amer. Meteorol. Soc., in press, doi:10.1175/BAMS-D-20-0245.1.

As human exposure to hydro-climatic extremes and the number of in situ precipitation observations declines, precipitation estimates, such as the Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (GPM) mission (IMERG), provide a critical source of information. Here, we present a new gauge-enhanced data set (CHIMES) designed to support global crop and hydrologic modeling and monitoring. CHIMES enhances the IMERG Late Run product using an updated Climate Hazards Center's (CHC) high-resolution climatology (CHPclim) and low-latency rain-gauge observations. CHPclim differs from other products because it incorporates long-term averages of satellite precipitation, which increases CHPclim's fidelity in data-sparse areas with complex terrain. This fidelity translates into performance increases in unbiased IMERG late data, which we refer to as CHIME. This is augmented with gauge observations to produce CHIMES.

The CHC's curated rain-gauge archive contains valuable contributions from many countries. There are two versions of CHIMES: preliminary and final. The final product has more copious and better-curated station data. Every pentad and month, bias adjusted IMERG late fields are combined with gauge observations to create pentadal and monthly CHIMESprelim and CHIMESfinal. Comparisons with pentadal, high quality gridded station data show that IMERG late performs well (r=0.75), but has some systematic biases which can be reduced. Monthly cross-validation results indicate that unbiasing increases the variance explained from 50 to 63 percent and decreases the mean absolute error from 48 to 39 mm/month. Gauge enhancement then increases the variance explained to 75 percent, reducing the mean absolute error to 27 mm/month.

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BibTeX Citation

@unpublished{fu05200z,
  author={Funk, C. C. and Peterson, P. and Huffman, G. J. and Landsfeld, M. F. and Peters-Lidard, C. and Davenport, F. and Shukla, S. and Peterson, S. and Pedreros, D. H. and Ruane, A. C. and Mutter, C. and Turner, W. and Harrison, L. and Sonnier, A. and Way-Henthorne, J. and Husak Gregory J.},
  title={Introducing and evaluating the Climate Hazards center IMErg with Stations (CHIMES) — Timely station-enhanced Integrated Multi-satellitE Retrievals for Global Precipitation Measurement},
  year={2021},
  journal={Bull. Amer. Meteorol. Soc.},
  doi={10.1175/BAMS-D-20-0245.1},
  note={Manuscript accepted for publication}
}

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RIS Citation

TY  - INPR
ID  - fu05200z
AU  - Funk, C. C.
AU  - Peterson, P.
AU  - Huffman, G. J.
AU  - Landsfeld, M. F.
AU  - Peters-Lidard, C.
AU  - Davenport, F.
AU  - Shukla, S.
AU  - Peterson, S.
AU  - Pedreros, D. H.
AU  - Ruane, A. C.
AU  - Mutter, C.
AU  - Turner, W.
AU  - Harrison, L.
AU  - Sonnier, A.
AU  - Way-Henthorne, J.
AU  - Husak Gregory J.
PY  - 2021
TI  - Introducing and evaluating the Climate Hazards center IMErg with Stations (CHIMES) — Timely station-enhanced Integrated Multi-satellitE Retrievals for Global Precipitation Measurement
JA  - Bull. Amer. Meteorol. Soc.
DO  - 10.1175/BAMS-D-20-0245.1
ER  -

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