Status and Plans for GPM and IMERG as They Enter Version 07

Abstract

<p>As part of the “extended operations” past the 3-year prime mission, the Global Precipitation Measurement (GPM) mission continues to develop improved products, currently rolling out the next Version 07 datasets.  This is later than expected, due to unforeseen complications in upgrading algorithms.  Example upgrades include:  Complete data across the shift in scanning strategy by the Dual-frequency Precipitation Radar is now provided.  The Goddard Profiling (GPROF) algorithm is improved in regions where orographic enhancement and suppression take place, or where the surface is snowy/icy.  One key point is ensuring continuity across the boundary between the Tropical Rainfall Measuring Mission (TRMM) and of the GPM Core Observatory for each product.  As well, analyses by users have directly affected algorithm development.  Specifically, user research on precipitation features in the Integrated Multi-satellitE Retrievals for GPM (IMERG) led to findings on how the forward/backward morphing process and Kalman filter (KF) weighting distorts the Probability Density Function (PDF) of regional precipitation rates.  This insight has led to the Scheme for Histogram Adjustment with Ranked Precipitation Estimates in the Neighborhood (SHARPEN), a regional adjustment to the PDF of KF precipitation estimates.  In another initiative, the IMERG team worked with a user to develop the Histogram Anomaly Time Series analysis, providing a simple summary of the time series of anomalies in  the PDF of precipitation over a region, and revealing natural and input-based variations in precipitation. </p><p>We will report the status of GPM Version 07 processing as of the conference time, and provide some examples of the changes in algorithm performance between Versions 06 and 07.</p>

Impact of the Madden–Julian Oscillation on extreme precipitation over the western Maritime Continent and Southeast Asia

“…The analysis is based on the Integrated Multi‐Satellite Retrievals (IMERG) product, version V06B, from the Global Precipitation Measurement (GPM) project (Huffman et al ., 2019). This product is based on measurements from a constellation of satellites, equipped with passive microwave (PM) and geo‐infrared (IR) sensors.…”

Mapped coral mortality and refugia in an archipelago-scale marine heat wave

“…to Stream ) by directly computing the distance from each pixel on the grid to the nearest stream. We downloaded monthly total precipitation map data, as measured by the Global Precipitation Mission satellite constellation ( 36 ) at 0.1° (∼10-km) resolution, and created two maps: the total terrestrial precipitation during all of 2019 ( PPT Avg ) and the total precipitation occurring during the warming period ( PPT Event ). These maps were used as an alias for the total freshwater flow into the ocean.…”

The Amazon and La Plata River Basins as Moisture Sources of South America: Climatology and Intraseasonal Variability

“…This intraseasonal oscillation pattern has previously been identified in multiple studies that decomposed filtered anomalies of PPT or outgoing longwave radiation in similar frequency bands (Alvarez et al., 2017; Casarin & Kousky, 1986; Gonzalez & Vera, 2014; Liebmann et al., 2004; Nogués‐Paegle & Mo, 1997; Vera et al., 2018). To validate the simulated mode, we performed EEOF analysis using daily PPT from the integrated multi‐satellite retrievals for Global PPT Mission (IMERG; Huffman et al., 2019) dataset, QU and QV from ERA5 reanalysis dataset (Hersbach et al., 2020) for the same duration and domain. Comparison of results shows that the WRF simulation realistically captures the orthogonal modes of variability as shown by the variance explained in observations (tricrosses in Figure 4a) and the observed spatial pattern of the dominant mode (Figure S5b in Supporting Information ).…”