JMA volcanic ash Test bed. Japan Meteorological Agency Meteorological Satellite Center Hidehiko MURATA

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1 JMA volcanic ash Test bed Japan Meteorological Agency Meteorological Satellite Center Hidehiko MURATA ET SUP 8, WMO HQ, Geneva, April 2014

2 Background User requirements (from a slide SNWC 1/PP2 by BoM) Consistency is important Level of trust in product must be high Validation will be important Common formats for delivery ICAO have indicated that consistency in products is a priority Action CGMS 41.26: JMA to establish an environment to implement multiple algorithms to retrieve quantitative ash cloud parameters from operational satellites. This will serve as a test bed for the intercomparison of retrievals on an operational basis in the framework of SCOPE Nowcasting. JMA is invited to perform an intercomparison based on historical data and report on this to CGMS 42. Progress on JMA volcanic ash Test bed installed 2 algorithm into JMA system and testing

3 Outline of Test bed for volcanic ash retrieval Algorithm A Algorithm B Algorithm C Source Code Binary Source Code Test bed Compile Compile JMA MSC Historical dataset SAT Image (HSF, HRIT) Processing Software (Algorithm A) (Algorithm A) Visualization Web Site Figures (Algorithm A) AOD MLD EPR HGT OMP NPD FTP put MGDSST (Binary) NWP data (GRIB2) Other Software (Algorithm B) Software (Algorithm C) (Algorithm B) (Algorithm C) Visualization Visualization Figures (Algorithm B) AOD MLD AOD EPR HGT Figures (Algorithm C) EPR MLD HGT Algorithm developer

4 Requirement for the software to be installed (DRAFT) Software Source code/executables will be provided from developers. Input data All provided algorithm ingests an identical dataset (Satellite Data, NWP data and SST data). If extra dataset is necessary for running an algorithm, it needs to be provided by the developer data The software should output the data in designated specifications in the test bed system as input of visualization/intercomparison tool

5 Volcanic Ash Products BT(10.8um)-BT(12.0um) Traditional split window image. MTSAT-2, Jan 27, UTC JMA has been developing volcanic ash products for aviation use. Introduced Algorithms JMA+EUMETSAT algorithm JMA developed ash detection algorithm (similar way to NOAA/NESDIS algorithm) Retrieval algorithm is provided from EUMETSAT[1]. NOAA/NESDIS algorithm JMA introduced volcanic ash retrieval software developed by NOAA/NESDIS[2]. JMA will establish a test-bed for intercomparison of multiple algorithms. JMA performed a preliminary comparison of two algorithms. note: Input datasets (NWP, SST) are different in each algorithm. JMA+EUMETSAT : GSM, MGDSST (JMA) NOAA/NESDIS : GFS, SST from AVHRR Note: NOAA/NESDIS will be providing JMA with a software update in June 2014 and that all results are extremely preliminary until the update has been installed

6 Ash Top Height Note: NOAA/NESDIS will be providing JMA with a software update in June 2014 and that all results are extremely preliminary until the update has been installed Preliminary intercomparison of NOAA/NESDIS and EUMETSAT algorism note: Input datasets (NWP, SST) are different in each algorithm.

7 ToDo Specification of the test bed To determine the specifications Such as, file interface, software design, software/algorithm documents and etc. Intercomparison method To establish product validation protocol Need to work closely together with SCPOE Nowcasting PP2 VA activities. Participants To call for participants from organizations who develop volcanic ash retrieval algorithms.

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9 Algorithm / Ash Cloud Detection and Retrieval Processing Ash Cloud Detection BT(10.8um) BTD(10.8um 12um) Tsurf RAT(0.68um, 3.7um) Bayesian Estimation of the probability that volcanic ash is present in a Retrieval Processing Probability Grouping Cloud Object Connected pixels that has an ash probability that exceeds a threshold are grouped into a cloud objects. Robustness Choose the cloud object that contains some pixels with much probability. given pixel. These detection algorithm is similar way to M.Pavolonis (NOAA/NESDIS) and S.Mackie (Univ. Bristol). The software coding is JMA s original. Ash Cloud Object BT(10.8um) BT(12um) BT(6.8um) Surface Temp. (NWP, SST) for pixels that corresponded to Ash Cloud Object. H 2 O Intercept Coding is JMA s original September 20 th 2013 Water vapor correction LUT (Prata, 2011) Read LUT Provided from EUMETSAT (Prata 2011) Retrieval Processing Massloading calculation Cloud Top Temperature Cloud Top Height 2013 EUMETSAT Meteorological Satellite Calculation Conference Coding is JMA s original Optical Depth Effective Particle Radius Mass Loading Ash Cloud Height 9

10 References [1]Fred Prata, 2011 : Volcanic Information Derived from Satellite Data. Climate and Atmosphere Department, Norwegian Institute for Air Research. [2]Michael Pavolonis, Jastin Sieglaff, 2013 : Development of a System for Quantitatively Monitoring Volcanic Clouds. Presentation at JMA/MSC