17-21 November 2014 7th IPWG - Tsukuba, Japan 1 The Status of NOAA/NESDIS Precipitation Algorithms and Products Ralph Ferraro NOAA/NESDIS College Park, MD USA Limin Zhao, Sid Boukabara, Tanvir Islam, Stan Kidder, Bob Kuligowski, Huan Meng, Patrick Meyers, Isaac Moradi, Brian Nelson, Scott Rudlosky, Tom Smith, JJ Wang, Nai-Yu Wang, Yalei You, Jerry Zhan (and some others that I have unintentionally left off…)
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17-21 November 2014 7th IPWG - Tsukuba, Japan 1
The Status of NOAA/NESDIS Precipitation Algorithms and
Products Ralph Ferraro
NOAA/NESDIS College Park, MD USA
Limin Zhao, Sid Boukabara, Tanvir Islam, Stan Kidder, Bob Kuligowski, Huan
Meng, Patrick Meyers, Isaac Moradi, Brian Nelson, Scott Rudlosky, Tom Smith, JJ Wang, Nai-Yu Wang, Yalei You, Jerry Zhan
(and some others that I have unintentionally left off…)
17-21 November 2014 7th IPWG - Tsukuba, Japan 2
Outline • Satellite Status • Operational products
– GOES-based products – POES-based products
• Including non-NOAA satellites
– Blended products
• Other activities – Climate Products/Data Records – New Algorithms and Approaches – Future “Enterprise” Product Systems at NOAA
• Summary
17-21 November 2014 7th IPWG - Tsukuba, Japan
February 2017?
GMI#2/Windsat 2018?
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17-21 November 2014 7th IPWG - Tsukuba, Japan 6
January 2016
NESDIS Operational Products of Interest
Algo Products Satellites/Sensors Res Type Formats MSPPS Rainfall rate, Snowfall
GPDS - GCOM-W Processing and Distribution System SCaMPR - Self-Calibrating Multivariate Precipitation Retrieval
Courtesy of Limin Zhao
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POES-based L2 and L3 products • MSPPS
– Heritage AMSU algorithms • Snowfall rates over land
– N18, N19, MOA, MOB – Other EDR’s like TPW, CLW, etc. – Retirement in 2015
• MIRS – 1DVAR scheme
• T, RH, hydrometeor profiles, TPW, CLW, emissivity, etc.
• SFR merger (MSPPS retirement – Portable to variety of sensors – N18, N19, MOA, MOB, S-NPP, M-T
• GPDS – GCOM AMSR-2 – GPROF2010V2 for rain rates
• Heritage NASA (Bayesian) approach • V2 uses climatological screens
– Other EDR’s like TPW, CLW, etc.
MSPPS Rain Rate MSPPS TPW Courtesy of L. Zhao, H. Meng, X. Zhan, P. Meyers
MIRS Rain Rate MIRS WV Profiles
GCOM Composite
Super-Typhoon Haiyan – GCOM/AMSR-2
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Courtesy of P. Meyers
17-21 November 2014 7th IPWG - Tsukuba, Japan
• An ATMS snowfall rate (SFR) algorithm has been developed building on the operational MHS SFR algorithm
• The snowfall detection (SD) component utilizes a new and more advanced algorithm
• The snowfall rate component is an improved physical model from the MHS SFR algorithm
• A new cold climate extension was developed recently which drastically increases the retrieval areas under cold conditions
• Validation of ATMS SFR shows that it has comparable or better performance than MHS SFR
• The CMORPH team has shown that adding ATMS SFR to MHS SFR enhances the performance of CMORPH Snow.
• NASA SPoRT is leading an ATMS/MHS SFR assessment project for this coming winter. Several NWS Weather Forecast Offices (WFOs) will participate, including Alaska.
Courtesy of Brian Nelson, Hilawe Semunegus, Huan Meng
18 November 2014 IPWG Training Workshop
SSMI Climate Time Series
• Monthly mean products derived from SSM/I since July 1987: – Precipitation rate and frequency – Snow cover frequency – Sea-ice concentration – Oceanic total precipitable water – Oceanic cloud liquid water and
frequency – Ocean surface wind speed
• Products are now generated and archived at NOAA/NCDC
• Used by NCEP/CPC, JMA, GEWEX/GPCP
New Ideas for GPROF2014/Sounders
• Supported by NESDIS contribution to NASA PMM Team ActivitiesYou, R. Ferraro
• Working with C. Kidd/C. Kummerow
• Based on NMQ matchups with SSMIS and ATMS
• Key questions: – How best to stratify
databases over land? • Ancillary data use
– How many view angle categories needed?
17-21 November 2014 7th IPWG - Tsukuba, Japan
NMQ ATMS
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Courtesy of Y. You and N-Y. Wang
Minute Lightning Density with 2 Long-track Tornados
DCLMA Applications – Showing the potential synergy from GOES-R ABI & GLM, and GCOM AMSR2
Lightning Flashes Each Second Overlaid on AMSR2 Precipitation