http://www.cnr.it/ontology/cnr/individuo/prodotto/ID253064
The 183-WSL fast rain rate retrieval algorithm. Part II: Validation using ground radar measurements (Articolo in rivista)
- Type
- Label
- The 183-WSL fast rain rate retrieval algorithm. Part II: Validation using ground radar measurements (Articolo in rivista) (literal)
- Anno
- 2013-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1016/j.atmosres.2010.11.013 (literal)
- Alternative label
S. Laviola, V. Levizzani, E. Cattani, C. Kidd (2013)
The 183-WSL fast rain rate retrieval algorithm. Part II: Validation using ground radar measurements
in Atmospheric research (Print); Elsevier, Amsterdam (Paesi Bassi)
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- S. Laviola, V. Levizzani, E. Cattani, C. Kidd (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://www.sciencedirect.com/science/article/pii/S0169809513002056# (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Note
- ISI Web of Science (WOS) (literal)
- Scopus (literal)
- Google Scholar (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- CNR-ISAC, Bologna
NASA-GSFC and ESSIC, University of Maryland, College Park, MD, USA (literal)
- Titolo
- The 183-WSL fast rain rate retrieval algorithm. Part II: Validation using ground radar measurements (literal)
- Abstract
- The Water vapor Strong Lines at 183 GHz (183-WSL) algorithm is a method for the retrieval of
rain rates and precipitation type classification (convective/stratiform). It exploits the water
vapor absorption line observations centered at 183.31 GHz of the Advanced Microwave
Sounding Unit module B (AMSU-B) and of the Microwave Humidity Sounder (MHS) flying on
NOAA-15/-17 and NOAA-18-19/MetOp-A satellite series, respectively. The characteristics of
this algorithm were described in Part I of this paper together with comparisons against
analogous precipitation products. The focus of Part II is the analysis of the performance of the
183-WSL technique based on surface radar measurements. The \"ground truth\" dataset consists
of 2 years and 7 months of rainfall intensity fields from the NIMROD radar network, which
covers North-Western Europe. The investigation of the 183-WSL retrieval performance is
based on a twofold approach: 1) the dichotomous statistic is used to evaluate the capabilities
of the method to identify rain and no-rain clouds and 2) the accuracy statistic is applied to
quantify the errors in the estimation of rain rates.
The results reveal that the 183-WSL technique shows good skills in the detection of rain/
no-rain areas and in the quantification of rain rate intensities. The categorical analysis shows
annual values of the Probability Of Detection (POD), False Alarm Ratio (FAR) and Hanssen-
Kuiper discriminant (HK) indices varying in the range 0.80-0.82, 0.33-0.36 and 0.39-0.46,
respectively. The RMSE value is 2.8 mm h-1 for the whole period despite an overestimation in
the retrieved rain rates. Of note is the distribution of the 183-WSL monthly mean rain rate with
respect to radar: the seasonal fluctuations of the average rainfalls measured by radar are
reproduced by the 183-WSL. However, the retrieval method appears to suffer during winter
seasonal conditions especially when the soil is partially frozen and the surface emissivity
drastically changes. This is verified by the discrepancy distribution diagrams where the
183-WSL performs better during the warm months, while during the winter time the
discrepancies with radar measurements tend to maximum values. The stable behavior of the
183-WSL algorithm is demonstrated over the whole study period by an overall overestimation
for rain rate intensities less than 1 mm h-1. This threshold is especially crucial in wintertime
when the classification of low-intensity precipitation regimes is difficult. (literal)
- Editore
- Prodotto di
- Autore CNR
- Insieme di parole chiave
Incoming links:
- Prodotto
- Autore CNR di
- Editore di
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi
- Insieme di parole chiave di