The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
A Cloud and Precipitation Feature Database from Nine Years of TRMM Observations
Abstract
An event-based method of analyzing the measurements from multiple satellite sensors is presented by using observations of the Tropical Rainfall Measuring Mission (TRMM) precipitation radar (PR), Microwave Imager (TMI), Visible and Infrared Scanner (VIRS), and Lightning Imaging System (LIS). First, the observations from PR, VIRS, TMI, and LIS are temporally and spatially collocated. Then the cloud and precipitation features are defined by grouping contiguous pixels using various criteria, including surface rain, cold infrared, or microwave brightness temperature. The characteristics of measurements from different sensors inside these features are summarized. Then, climatological descriptions of many properties of the identified features are generated. This analysis method condenses the original information of pixel-level measurements into the properties of events, which can greatly increase the efficiency of searching and sorting the observed historical events. Using the TRMM cloud and precipitation feature database, the regional variations of rainfall contribution by features with different size, intensity, and PR reflectivity vertical structure are shown. Above the freezing level, land storms tend to have larger 20-dBZ area and reach higher altitude than is the case for oceanic storms, especially those land storms over central Africa. Horizontal size and the maximum reflectivity of oceanic storms decrease with altitude. For land storms, these intensity measures increase with altitude between 2 km and the freezing level and decrease more slowly with altitude above the freezing level than for ocean storms.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The NCEP/NCAR 40-Year Reanalysis Project
Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woollen, J., et al. (1996) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1996)077<0437:tnyrp>2.0.co;2 · Cited by 28,360
The NCEP–NCAR 50–Year Reanalysis: Monthly Means CD–ROM and Documentation
Kistler, R. E., Collins, W., Saha, S., White, G. H., Woollen, J. S., Kalnay, E., Chelliah, M., Ebisuzaki, W., Kanamitsu, M., Kousky, V. E., et al. (2001) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(2001)082<0247:tnnyrm>2.3.co;2 · Cited by 4,212
The Tropical Rainfall Measuring Mission (TRMM) Sensor Package
Kummerow, C., Barnes, W., Kozu, T., Shiue, J., & Simpson, J. (1998) · Journal of Atmospheric and Oceanic Technology · doi:10.1175/1520-0426(1998)015<0809:ttrmmt>2.0.co;2 · Cited by 2,424
Stephens, G. L., Vane, D. G., Boain, R. J., Mace, G. G., Sassen, K., Wang, Z., Illingworth, A. J., O'connor, E. J., Rossow, W. B., Durden, S. L., et al. (2002) · Bulletin of the American Meteorological Society · doi:10.1175/bams-83-12-1771 · Cited by 2,100
Global Precipitation at One-Degree Daily Resolution from Multisatellite Observations
Huffman, G. J., Adler, R. F., Morrissey, M. M., Bolvin, D. T., Curtis, S., Joyce, R., McGavock, B., & Susskind, J. (2001) · Journal of Hydrometeorology · doi:10.1175/1525-7541(2001)002<0036:gpaodd>2.0.co;2 · Cited by 1,854
Steiner, M., Houze, R. A., & Yuter, S. E. (1995) · Journal of Applied Meteorology · doi:10.1175/1520-0450(1995)034<1978:ccotds>2.0.co;2 · Cited by 1,025
WHERE ARE THE MOST INTENSE THUNDERSTORMS ON EARTH?
Zipser, E. J., Cecil, D. J., Liu, C., Nesbitt, S. W., & Yorty, D. P. (2006) · Bulletin of the American Meteorological Society · doi:10.1175/bams-87-8-1057 · Cited by 991
Self-citationRain-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
Kummerow, C., Hong, Y., Olson, W. S., Yang, S., Adler, R. F., McCollum, J., Ferraro, R., Petty, G., Shin, D.-B., & Wilheit, T. T. (2001) · Journal of Applied Meteorology · doi:10.1175/1520-0450(2001)040<1801:teotgp>2.0.co;2 · Cited by 872
Yuter, S. E., & Houze, R. A. (1995) · Monthly Weather Review · doi:10.1175/1520-0493(1995)123<1941:tdkame>2.0.co;2 · Cited by 691
Cited by
Dykema, J. A., Keith, D. W., Anderson, J. G., & Weisenstein, D. (2014) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2014.0059 · Cited by 92
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
Increasing potential for intense tropical and subtropical thunderstorms under global warming
Singh, M. S., Kuang, Z., Maloney, E. D., Hannah, W. M., & Wolding, B. O. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1707603114 · Cited by 79
Metadata
- Authors
- Liu, C., Zipser, E. J., Cecil, D. J., Nesbitt, S. W., & Sherwood, S.
- Venue
- Journal of Applied Meteorology and Climatology
- Publisher
- American Meteorological Society
- Published
- 2008-10-01
- Volume
- 47
- Issue
- 10
- Pages
- 2712-2728
- ISSN
- 1558-8424 (ISSN-L)
- 1558-8432
- OpenAlex
- W2121089459
- Cited by
- 384
- References
- 20
- FWCI
- 8.45
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Cloud and Precipitation Feature Database from Nine Years of TRMM Observations. https://app.cochat.ai/papers/10.1175/2008jamc1890.1
- The paper
- Liu, C., Zipser, E. J., Cecil, D. J., Nesbitt, S. W., & Sherwood, S. (2008). A Cloud and Precipitation Feature Database from Nine Years of TRMM Observations. Journal of Applied Meteorology and Climatology. https://doi.org/10.1175/2008jamc1890.1
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.