Phillip A. Arkin

TL;DR: In this article, the authors constructed a 2.5° latitude-longitude grid for the 17-yr period from 1979 to 1995 by merging several kinds of information sources with different characteristics, including gauge observations, estimates inferred from a variety of satellite observations, and the NCEP-NCAR reanalysis.

TL;DR: In this article, the shape and intensity of the precipitation features are modified during the time between microwave sensor scans by performing a time-weighted linear interpolation, yielding spatially and temporally complete microwave-derived precipitation analyses, independent of the infrared temperature field.

TL;DR: In this paper, an algorithm is developed to construct global gridded fields of monthly precipitation by merging estimates from five sources of information with different characteristics, including gauge-based monthly analyses from the Global Precipitation Climatology Centre, three types of satellite estimates [the infrared-based GOES precipitation index, the microwave (MW) scattering-based Grody, and the MW emission-based Chang estimates], and predictions produced by the operational forecast model of the European Centre for Medium-Range Weather Forecasts.

TL;DR: In this paper, the authors describe the initial work toward the production of monthly global (land and ocean) analyses of precipitation for an extended period from 1948 to the present, called the precipitation reconstruction (PREC).

TL;DR: In this article, the authors presented estimates of areal and time-averaged convective precipitation derived from geostationary satellite imagery using a simple thresholding technique, which is based on measurements of the monthly mean fraction of 2.5° × 2. 5° areas covered by clouds whose equivalent blackbody temperature in infrared imagery is below 235 K.