Technical Expectations from Organizers & Participants B. Fougnie, S

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Technical Expectations from Organizers & Participants B. Fougnie, S Technical Expectations from Organizers & Participants B. Fougnie, S. Lachérade (CNES) S. Wagner (EUMETSAT) T. Stone (USGS) J. Xiong (NASA)

Context Framework : Moon is now extensively used by many operators, to help calibration 1st goal = monitoring of the temporal evolution today the ROLO model is one way to achieve that Today, several implementation of the ROLO model difficulties to implement the model many difficulties & discrepancies when cross-comparing results limitation in the development of lunar calibration activities Tomorrow, move toward better diffusion of the ROLO model in the sense implementation of a version/configuration closer collaboration between groups working on Lunar cal. improvement of methods : phase, cross-calibration, absolute… 24/06/14

Context Objectives of the workshop : 1/ work with a common validated implementation (GIRObox) GIRObox has to be prepared (EUMETSAT/USGS, NASA, CNES) participants have to install the GIRObox [before WS] cross-check has to be made [during WS] 2/ generate a reference dataset for validation/comparison [during WS] = Lunar Calibration Reference Dataset (LCaRD) participants have to produce their sampling dataset [before WS] = Owner Data Set (ODS) 3/ share largely the experience (…and a bit of data) participants have to explain what they are doing [during WS] a report has to be derived [after WS] What has to be done before the WS ? What do you need to prepare ? What will be done during the WS ? 24/06/14

Inputs for the Calibration Processing Chain I/O from raw image to calibration result … Acquisition = raw image Preprocessing (dark, DRNU, straylight …)  i= raw image  i= set of instrumental + system parameters  o= corrected image Computation of the observed lunar irradiance – integration over the disk  i= corrected image  i= system parameters : oversampling factor, IFOV  o= observed lunar irradiance Computation of sat/sun selenographic coordinates  i= date + position of satellite (X,Y,Z)  o= selenographic coordinates ROLO Prediction of Lunar irradiance  i= selenographic coordinates  i= spectral response function (SRF)  o= predicted lunar irradiance Calibration diagnostic  i= observed + predicted lunar irradiance  o= calibration coefficient Instrument operator #1 Instrument operator + option GIRObox #2 GIRObox 24/06/14

Inputs for the Calibration Processing Chain #1 #2 #2 24/06/14

Inputs for Part #1 – Observed Radiance Goal = check the pre-processing compliancy Preprocessing (dark, DRNU, straylight …)  i= raw image  i= set of instrumental + system parameters  o= corrected image Computation of the observed lunar irradiance – integration over the disk  i= corrected image  i= system parameters : oversampling factor, IFOV  o= observed lunar irradiance Instrument operator #1 Instrument operator + option GIRObox Needed for the WS from all participants : PPT presentation including : all preprocessing steps : conversion digit -> radiance including artifacts and consideration of oversampling and IFOV the moon masking + integration of the lunar disk (if relevant) a list of recommendation / feedbacks samples of Radiance imagette // DC imagette // Observed lunar irradiance (defining the Owner Data Set) generated using - own processor, and/or GIRObox 24/06/14

Inputs for Part #2 – Predicted Radiance Goal = validate the implementation of the GIRObox Computation of sat/sun selenographic coordinates  i= date + position of satellite (X,Y,Z)  o= selenographic coordinates ROLO Prediction of Lunar irradiance  i= selenographic coordinates  i= spectral response function (SRF)  o= predicted lunar irradiance GIRObox #2 Needed for the WS from all participants : samples of observed lunar irradiance (Owner Data Set) including Integrated observed lunar irradiance traceable to a product/processing version or a calibration version Time and position normalized spectral response function (SRF) of instrument predicted lunar irradiance for all samples using GIRObox 24/06/14

Homework – WS Owner Data Set Preparation required for all participants  GIRObox + your own dataset (image and/or data) ROLO will be implemented by EUMETSAT/USGS in the GIRObox GIRObox will be provided to GSICS through EUMETSAT facilities Install GIRObox in your system Run GIRO to compute Predicted Lunar irradiance for your Owner Data Set Baseline = reference prediction of the Lunar Irradiance using ROLO Optional ? = integration of the lunar disk from the corrected images to derive observed integrated irradiance Definition of the Owner Data Set (ODS) Mandatory set : limited to minimum needs and including integrated irradiance for at least N phase angles (when available) time, position of satellite X,Y,Z Optional set : a larger range for phase angle corrected images (instead of integrated irradiance) 24/06/14

During the Workshop All individual contribution (Owner Data Sets - ODS) will be gathered into a global Lunar Calibration Reference Dataset (LCaRD) LCaRD = for the first time, a unique reference dataset with a wide range of satellite instrument All participants would be able to process the whole LCaRD with their lunar calibration chain (which must include at least the GIRObox) During the WS, it is required that every team would be able (or through a real-time contact point within their agency) to address specific questions that would need to be discussed of for which a modification/test/reprocessing would be necessary Also be prepared to analyze the results (visualizing tool…) 24/06/14

Participant expectations Top-level goals of the WS : everybody uses the same validated reference of the ROLO model everybody could use the same Lunar Calibration Reference Dataset Participants expectations : we would like to better understand your motivations & needs GIRObox = basic ROLO implementation + Optional functionalities balance between additional functions and complexity of the tools/inputs GIRObox for WS validation purpose, but we want it to be useful Intermediate outputs/inputs ? Consensus on NetCDF ? Definition of the Owner Data Set (sampling) ? 24/06/14