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Systematic and random errors between collocated satellite ice water path observations
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Space Technology.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Space Technology.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Space Technology.ORCID iD: 0000-0001-6389-1160
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Space Technology.
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2013 (English)In: Journal of Geophysical Research, ISSN 0148-0227, E-ISSN 2156-2202, Vol. 118, no 6, 2629-2642 p.Article in journal (Refereed) Published
Abstract [en]

There remains large disagreement between IWP in observational datasets, largely because the sensors observe different parts of the ice particle size distribution. A detailed comparison of retrieved IWP from satellite observations in the Tropics ({plus minus}30{degree sign} latitude) in 2007 is made using collocated measurements. The DARDAR IWP dataset, based on combined Radar/Lidar measurements, is used as a reference as it provides arguably the best estimate of the total column IWP. For each dataset, usable IWP dynamic ranges are inferred from this comparison. IWP retrievals based on solar reflectance measurements, MODIS, and AVHRR-based CMSAF, and PATMOS-x, were found to be correlated with DARDAR over a large IWP range (~20-7000 g/m-2;). The random errors of the collocated datasets have a close to log-normal distribution, and the combined random error of MODIS and DARDAR is less than a factor of 2, which also sets the upper limit for MODIS alone. In the same way the upper limit for the random error of all considered datasets is determined. Datasets based on passive microwave measurements,MSPPS, MiRS, and CMO, are largely correlated with DARDAR for IWP values larger than approximately 700 g/m². The combined uncertainty between these datasets and DARDAR in this range is slightly less MODIS-DARDAR, but the systematic bias is nearly an order of magnitude.

Place, publisher, year, edition, pages
2013. Vol. 118, no 6, 2629-2642 p.
National Category
Aerospace Engineering
Research subject
Space Technology
Identifiers
URN: urn:nbn:se:ltu:diva-8477DOI: 10.1029/2012JD018381Local ID: 6fe22b5c-a8b2-439a-b034-58620f262b83OAI: oai:DiVA.org:ltu-8477DiVA: diva2:981415
Note
Validerad; 2013; 20130109 (thokuh)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved

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Eliasson, SalomonHoll, GerritBuehler, StefanKuhn, Thomas

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