1 / 8

Satellite QPE: Science Issues, New Capabilities and Perspectives

Satellite QPE: Science Issues, New Capabilities and Perspectives. Bob Kuligowski NOAA/NESDIS Office of Research and Applications. Current Operational Practices. Hydro-Estimator (HE): NESIDS’ operational algorithm

job
Download Presentation

Satellite QPE: Science Issues, New Capabilities and Perspectives

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Satellite QPE: Science Issues, New Capabilities and Perspectives Bob Kuligowski NOAA/NESDIS Office of Research and Applications

  2. Current Operational Practices • Hydro-Estimator (HE): NESIDS’ operational algorithm • Rain rates based on 10.7-µm Tb’s; corrections based on NAM/GFS moisture, temperature, wind fields • 1-h totals distributed hourly via AWIPS (increase to 15-min updates in late 2005); instantaneous rates, and 1-, 3- and 6-h totals globally via Web, plus 24-h totals at 1200 UTC • Full-CONUS (4-km AWIPS grid) coverage on AWIPS; global coverage on Web • Offline ORA archive in McIDAS AREA file format • Real-time verification over CONUS (Kuligowski, Janowiak) and Australia (Ebert)

  3. Current Operational Practices • GOES Multi-Spectral Rainfall Algorithm (GMSRA) • Rain rates based on GOES 10.7-µm brightness temperatures calibrated in real-time by rain gauge-corrected radar • Other channels used in rain/no rain identification • Same update frequency as HE on Web, but CONUS coverage only; available on AWIPS with same schedule as HE by end of 2006 • Graphic online archive only • Validation over CONUS (Janowiak, Kuligowski) • Other IR algorithms also, but mostly experimental rather than operational

  4. Current Operational Practices • Microwave Rainfall Rates • More accurate instantaneous rates than IR-based, but available much less frequently (so less accurate totals) • Produced operationally from • SSM/I and SSMIS (statistical algorithms) at NRL—4 instruments total (change to SSMIS for F-18) • AMSU and HMS (physical algorithms) at NESDIS/ORA (MSPPS)—4 instruments total (change to HMS for NOAA-18) • AMSR-E (GPROF) at NASA—1 instrument • TMI (GPROF) at NASA—1 instrument • Global coverage 2x/day from each instrument except TMI (35°S-35°N coverage at irregular intervals)

  5. Current Operational Practices • IR/microwave blending techniques: • Effort to combine relative accuracy of microwave with sampling and resolution of IR • Numerous techniques: • NRL (probability matching) • MPA (NASA; error minimization) • PERSIANN (UC-Irvine; neural networks) • CMORPH (CPC; time interpolation using IR) • SCaMPR (ORA; multi-predictor regression) • …and others too numerous to mention • CMORPH performs best in Australia and CONUS validation

  6. Outstanding Science / R2O Issues • Still many challenges: • Stratiform precipitation • Orographically-enhanced precipitation • Snowfall • Optimal use of new IR bands/hyperspectral data? • Optimal use of lightning data • Optimal combination of IR and MW data and blending with other data sets (gauges, radar) given different characteristics • Calibration: fixed vs. variable (i.e., calibrated in real time vs. a target data set) • Format: how to account for uncertainty in a concise but useful manner (e.g., probability distributions?) • Error analysis—a CRITICAL missing piece for assimilation into NWP models

  7. New / Emerging Solutions • Algorithms: • CMORPH—uses IR as a basis for interpolating between MW measurements to address sampling issue • SCaMPR—flexible framework for calibrating IR and other data against any target data (satellite, radar, gauge)

  8. New / Emerging Solutions • Instruments and Platforms: • GOES-R ABI: 16 spectral bands (instead of 5) including bands useful for cloud-top phase and particle size retrieval; Meteosat-8 SEVIRI offers many of these channels • GOES-R lightning mapper—spaceborne lightning of all types (IC, CC, CG) • GPM: effort to provide 3-hourly microwave-based data via coordinated multinational instrumentation—next generation of spaceborne (dual-frequency) radar on main platform for calibration

More Related