Workshop Topics CREW-4

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Revision as of 11:47, 21 December 2012 (view source) Rob (Talk | contribs) (Created page with "== Workshop Topics == - Topic 1: Instrument calibration - Topic 2: Cloud detection and parameter retrievals from active sensors - Topic 3: Cloud detection and parameter retrieval...") ← Older edit		Latest revision as of 07:22, 8 July 2013 (view source) Rob (Talk | contribs)
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-	== Workshop Topics ==	+	'''Topic 1: Cloud parameter retrieval methods'''<br>
-	- Topic 1: Instrument calibration	+	(retrieval parameterizations, optimal estimation, combined retrievals, error estimates)<br>
-	- Topic 2: Cloud detection and parameter retrievals from active sensors	+
-	- Topic 3: Cloud detection and parameter retrievals from passive sensors	+	'''Topic 2: Cloud parameter retrieval evaluations'''<br>
-	- Topic 4: Sensitivity studies	+	(validation (against active sensors and in-situ observations), inter-comparisons, uncertainty estimate assessments, and sensitivity analysis)<br>
-	- Topic 5: Aggregation methods	+
-	- Topic 6: Assessment of cloud parameter retrievals and their uncertainty estimates	+	'''Topic 3: Cloud parameters for nowcasting and forecasting applications'''<br>
		+	(severe weather, aviation, early warning, and data assimilation)<br>
		+
		+	'''Topic 4: Cloud parameter datasets for climate and weather research'''<br>
		+	(aggregation methods, CMIPS comparison, dataset stability and trend analysis, reanalysis verification, evaluation of model parameterizations, and satellite simulators)<br>

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Latest revision as of 07:22, 8 July 2013

Topic 1: Cloud parameter retrieval methods
(retrieval parameterizations, optimal estimation, combined retrievals, error estimates)

Topic 2: Cloud parameter retrieval evaluations
(validation (against active sensors and in-situ observations), inter-comparisons, uncertainty estimate assessments, and sensitivity analysis)

Topic 3: Cloud parameters for nowcasting and forecasting applications
(severe weather, aviation, early warning, and data assimilation)

Topic 4: Cloud parameter datasets for climate and weather research
(aggregation methods, CMIPS comparison, dataset stability and trend analysis, reanalysis verification, evaluation of model parameterizations, and satellite simulators)