%0 Journal Article %1 Huffman2007TRMM %A Huffman, George J. %A Bolvin, David T. %A Nelkin, Eric J. %A Wolff, David B. %A Adler, Robert F. %A Gu, Guojun %A Hong, Yang %A Bowman, Kenneth P. %A Stocker, Erich F. %B Journal of Hydrometeorology %D 2007 %I American Meteorological Society %J J. Hydrometeor. %K lakevictoria %N 1 %P 38--55 %R 10.1175/jhm560.1 %T The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales %U http://dx.doi.org/10.1175/jhm560.1 %V 8 %X Abstract The Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) provides a calibration-based sequential scheme for combining precipitation estimates from multiple satellites, as well as gauge analyses where feasible, at fine scales (0.25° ? 0.25° and 3 hourly). TMPA is available both after and in real time, based on calibration by the TRMM Combined Instrument and TRMM Microwave Imager precipitation products, respectively. Only the after-real-time product incorporates gauge data at the present. The dataset covers the latitude band 50°N?S for the period from 1998 to the delayed present. Early validation results are as follows: the TMPA provides reasonable performance at monthly scales, although it is shown to have precipitation rate?dependent low bias due to lack of sensitivity to low precipitation rates over ocean in one of the input products based on Advanced Microwave Sounding Unit-B (AMSU-B). At finer scales the TMPA is successful at approximately reproducing the surface observation?based histogram of precipitation, as well as reasonably detecting large daily events. The TMPA, however, has lower skill in correctly specifying moderate and light event amounts on short time intervals, in common with other finescale estimators. Examples are provided of a flood event and diurnal cycle determination. Abstract The Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) provides a calibration-based sequential scheme for combining precipitation estimates from multiple satellites, as well as gauge analyses where feasible, at fine scales (0.25° ? 0.25° and 3 hourly). TMPA is available both after and in real time, based on calibration by the TRMM Combined Instrument and TRMM Microwave Imager precipitation products, respectively. Only the after-real-time product incorporates gauge data at the present. The dataset covers the latitude band 50°N?S for the period from 1998 to the delayed present. Early validation results are as follows: the TMPA provides reasonable performance at monthly scales, although it is shown to have precipitation rate?dependent low bias due to lack of sensitivity to low precipitation rates over ocean in one of the input products based on Advanced Microwave Sounding Unit-B (AMSU-B). At finer scales the TMPA is successful at approximately reproducing the surface observation?based histogram of precipitation, as well as reasonably detecting large daily events. The TMPA, however, has lower skill in correctly specifying moderate and light event amounts on short time intervals, in common with other finescale estimators. Examples are provided of a flood event and diurnal cycle determination.

@article{Huffman2007TRMM, abstract = {Abstract The Tropical Rainfall Measuring Mission ({TRMM}) Multisatellite Precipitation Analysis ({TMPA}) provides a calibration-based sequential scheme for combining precipitation estimates from multiple satellites, as well as gauge analyses where feasible, at fine scales (0.25° ? 0.25° and 3 hourly). {TMPA} is available both after and in real time, based on calibration by the {TRMM} Combined Instrument and {TRMM} Microwave Imager precipitation products, respectively. Only the after-real-time product incorporates gauge data at the present. The dataset covers the latitude band {50°N}?S for the period from 1998 to the delayed present. Early validation results are as follows: the {TMPA} provides reasonable performance at monthly scales, although it is shown to have precipitation rate?dependent low bias due to lack of sensitivity to low precipitation rates over ocean in one of the input products [based on Advanced Microwave Sounding {Unit-B} ({AMSU}-B)]. At finer scales the {TMPA} is successful at approximately reproducing the surface observation?based histogram of precipitation, as well as reasonably detecting large daily events. The {TMPA}, however, has lower skill in correctly specifying moderate and light event amounts on short time intervals, in common with other finescale estimators. Examples are provided of a flood event and diurnal cycle determination. Abstract The Tropical Rainfall Measuring Mission ({TRMM}) Multisatellite Precipitation Analysis ({TMPA}) provides a calibration-based sequential scheme for combining precipitation estimates from multiple satellites, as well as gauge analyses where feasible, at fine scales (0.25° ? 0.25° and 3 hourly). {TMPA} is available both after and in real time, based on calibration by the {TRMM} Combined Instrument and {TRMM} Microwave Imager precipitation products, respectively. Only the after-real-time product incorporates gauge data at the present. The dataset covers the latitude band {50°N}?S for the period from 1998 to the delayed present. Early validation results are as follows: the {TMPA} provides reasonable performance at monthly scales, although it is shown to have precipitation rate?dependent low bias due to lack of sensitivity to low precipitation rates over ocean in one of the input products [based on Advanced Microwave Sounding {Unit-B} ({AMSU}-B)]. At finer scales the {TMPA} is successful at approximately reproducing the surface observation?based histogram of precipitation, as well as reasonably detecting large daily events. The {TMPA}, however, has lower skill in correctly specifying moderate and light event amounts on short time intervals, in common with other finescale estimators. Examples are provided of a flood event and diurnal cycle determination.}, added-at = {2019-08-14T18:35:35.000+0200}, author = {Huffman, George J. and Bolvin, David T. and Nelkin, Eric J. and Wolff, David B. and Adler, Robert F. and Gu, Guojun and Hong, Yang and Bowman, Kenneth P. and Stocker, Erich F.}, biburl = {https://www.bibsonomy.org/bibtex/2dde4d0f206e0d70c77eb25819fd6f79d/karinawilliams}, booktitle = {Journal of Hydrometeorology}, citeulike-article-id = {7334013}, citeulike-linkout-0 = {http://journals.ametsoc.org/doi/abs/10.1175/JHM560.1}, citeulike-linkout-1 = {http://dx.doi.org/10.1175/jhm560.1}, day = 1, doi = {10.1175/jhm560.1}, interhash = {69dc979ba5fb9cee3e612268d67225e4}, intrahash = {dde4d0f206e0d70c77eb25819fd6f79d}, journal = {J. Hydrometeor.}, keywords = {lakevictoria}, month = feb, number = 1, pages = {38--55}, posted-at = {2014-04-02 10:27:55}, priority = {2}, publisher = {American Meteorological Society}, timestamp = {2019-08-14T18:35:35.000+0200}, title = {The {TRMM} Multisatellite Precipitation Analysis ({TMPA}): {Quasi-Global}, Multiyear, {Combined-Sensor} Precipitation Estimates at Fine Scales}, url = {http://dx.doi.org/10.1175/jhm560.1}, volume = 8, year = 2007 }