IPWG ALGORITHM INVENTORY

IMPORTANT
The following algorithms were listed as a result of a first IPWG inventory worldwide.
The list does not pretend to be exhaustive at the moment and the inventory will be a continuous process.
Therefore the list is under a constant revision process as new algorithms are identified.
Each algorithm is briefly described following a standard form issued by the IPWG.


You are encouraged to SUBMIT to IPWG the description of your algorithm. Please proceed as follows:
  • download the following FORM in WORD DOC and fill it;
  • send it as an e-mail attachment to the IPWG.

IR-based algorithms
Algorithm nameInstitutionDeveloper/contact person
CMAChina Meteorological Agency (CMA), People Rep. of ChinaL. Naimeng
EURAINSAT/A 1.0EURAINSAT project, EUF. J. Tapiador
High resolution Precipitation Index (HPI)EUMETSAT, EUT. Heinemann
Hydro-Estimator for short term (1-6 hr) Extreme PrecipitationNOAA/NESDIS, USABob Kuligowski
JMAMSCJapan Meteorological Agency, JapanN. Ohkawara



Multiple precipitation estimations blend
Algorithm nameInstitutionDeveloper/contact person
GOES Multispectral Rainfall Algorithm (GMSRA)NOAA/NESDIS, USAM.Ba and A. Gruber
GPCP 1 Degree DailyNASA/GSFC, USAG. J. Huffman
GPCP Satellite-Gauge CombinationNASA/GSFC, USAG. J. Huffman
TRMM var (3B41RT)NASA/GSFC, USAG. J. Huffman



MW-based algorithms
Algorithm nameInstitutionDeveloper/contact person
AMSR-E L2 NOAA-NESDIS global rain ratesNOAA/NESDIS, USAR. R. Ferraro
AMSU NOAA-NESDIS orbital, pentad and monthly global rain ratesNOAA/NESDIS, USAR. R. Ferraro
Microwave Integrated Retrieval System (MIRS)NOAA/NESDIS, USAS. A. Boukabara
SSM/I NOAA-NESDIS orbital, pentad and monthly global rain ratesNOAA/NESDIS, USAR. R. Ferraro
TRMM HQ (3B40RT)NASA/GSFC, USAG. J. Huffman



Blended MW-IR algorithms
Algorithm nameInstitutionDeveloper/contact person
CPC Morphing technique (CMORPH)NOAA, USAR. Joyce
EURAINSAT/B 1.0EURAINSAT project, EUC. Kidd
GSMaPOsaka University, JapanTomoo Ushio and Ken'ichi Okamoto
Multi-sensor Precipitation Estimate (MPE)EUMETSAT, GermanyT. Heinemann
NRL Blended Satellite TechniqueNaval Research Laboratory, USAF. J. Turk
Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN)Univ. of California Irvine, USAK.-L. Hsu
Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks - Cloud Classification System (PERSIANN-CCS)Univ. of California Irvine, USAYang Hong
Self-Calibrating Multivariate Precipitation Retrieval (SCaMPR)NOAA-NESDIS-STAR, USABob Kuligowski
TRMM HQ/VAR (3B42RT)NASA/GSFC, USAG. J. Huffman