Research output: Contribution to journal › Article › peer-review
Cross-validation of two liquid water path retrieval algorithms applied to ground-based microwave radiation measurements by the RPG-HATPRO instrument. / Kostsov, Vladimir S.; Ionov, Dmitry V.; Biryukov, Egor Yu.; Zaitsev, Nikita A.
In: International Journal of Remote Sensing, Vol. 39, No. 5, 04.03.2018, p. 1321-1342.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Cross-validation of two liquid water path retrieval algorithms applied to ground-based microwave radiation measurements by the RPG-HATPRO instrument
AU - Kostsov, Vladimir S.
AU - Ionov, Dmitry V.
AU - Biryukov, Egor Yu.
AU - Zaitsev, Nikita A.
PY - 2018/3/4
Y1 - 2018/3/4
N2 - A built-in operational regression algorithm (REA) of liquid water path (LWP) retrieval supplied by the manufacturer of the RPG-HATPRO microwave (MW) radiometer has been compared to a so-called physical algorithm (PHA) based on the inversion of the radiative transfer equation. The comparison has been performed for different scenarios of MW observations by the RPG-HATPRO instrument that has been operating at St. Petersburg University since June 2012. The data for the scenarios have been collected within the time period December 2012-December 2014. The estimations of bias and random error for both REA and PHA have been obtained. Special attention has been paid to the analysis of the quality of the LWP retrievals before and after rain events that have been detected by the built-in rain sensor. The estimation has been done of the time period after a rain event when the retrieval quality should be considered as insufficient.
AB - A built-in operational regression algorithm (REA) of liquid water path (LWP) retrieval supplied by the manufacturer of the RPG-HATPRO microwave (MW) radiometer has been compared to a so-called physical algorithm (PHA) based on the inversion of the radiative transfer equation. The comparison has been performed for different scenarios of MW observations by the RPG-HATPRO instrument that has been operating at St. Petersburg University since June 2012. The data for the scenarios have been collected within the time period December 2012-December 2014. The estimations of bias and random error for both REA and PHA have been obtained. Special attention has been paid to the analysis of the quality of the LWP retrievals before and after rain events that have been detected by the built-in rain sensor. The estimation has been done of the time period after a rain event when the retrieval quality should be considered as insufficient.
UR - http://www.scopus.com/inward/record.url?scp=85046857255&partnerID=8YFLogxK
U2 - 10.1080/01431161.2017.1404163
DO - 10.1080/01431161.2017.1404163
M3 - Article
AN - SCOPUS:85046857255
VL - 39
SP - 1321
EP - 1342
JO - International Joural of Remote Sensing
JF - International Joural of Remote Sensing
SN - 0143-1161
IS - 5
ER -
ID: 34925571