CIMA 09099
CENTRO DE INVESTIGACIONES DEL MAR Y LA ATMOSFERA
Unidad Ejecutora - UE
artículos
Título:
Evaluation of mesoscale convective systems in South America using multiple satellite products and an object©\based approach
Autor/es:
DEMARIA ELEONORA; RODRUIGUEZ DANIEL ; ELIZEBETH EBERT; PAOLA SALIO; F. SU; J. B. VALDES
Revista:
JOURNAL OF GEOPHYSICAL RESEARCH
Editorial:
AMER GEOPHYSICAL UNION
Referencias:
Lugar: Boston; Año: 2011 vol. 116 p. 1 - 13
ISSN:
0148-0227
Resumen:
In this study, an object©\based verification method was used to reveal the existence of
systematic errors in three satellite precipitation products: Tropical Rainfall Measurement
Mission (TRMM), Climate Prediction Center Morphing Technique (CMORPH), and
Precipitation Estimation from Remotely Sensed Information Using Artificial Neural
Networks (PERSIANN). Mesoscale convective systems (MCSs) for the austral summer
2002¨C2003 in the La Plata river basin, southeastern South America, were analyzed with
the Contiguous Rain Area (CRA) method. Errors in storms intensity, volume, and spatial
location were evaluated. A macroscale hydrological model was used to assess the impact
of spatially shifted precipitation on streamflows simulations. PERSIANN underestimated
the observed average rainfall rate and maximum rainfall consistent with the detection of
storm areas systematically larger than observed. CMORPH overestimated the average
rainfall rate while the maximum rainfall was slightly underestimated. TRMM average
rainfall rate and rainfall volume correlated extremely well with ground observations
whereas the maximum rainfall was systematically overestimated suggesting deficiencies in
the bias correction procedure to filter noisy measurements. The preferential direction of
error displacement in satellite©\estimated MCSs was in the east©\west direction for
CMORPH and TRMM. Discrepancies in the fine structure of the storms dominated the
error decomposition of all satellite products. Errors in the spatial location of the systems
influenced the magnitude of simulated peaks but did not have a significant impact on
the timing indicating that the system¡¯s response to precipitation was mitigating the effect of
the errors.©\based verification method was used to reveal the existence of
systematic errors in three satellite precipitation products: Tropical Rainfall Measurement
Mission (TRMM), Climate Prediction Center Morphing Technique (CMORPH), and
Precipitation Estimation from Remotely Sensed Information Using Artificial Neural
Networks (PERSIANN). Mesoscale convective systems (MCSs) for the austral summer
2002¨C2003 in the La Plata river basin, southeastern South America, were analyzed with
the Contiguous Rain Area (CRA) method. Errors in storms intensity, volume, and spatial
location were evaluated. A macroscale hydrological model was used to assess the impact
of spatially shifted precipitation on streamflows simulations. PERSIANN underestimated
the observed average rainfall rate and maximum rainfall consistent with the detection of
storm areas systematically larger than observed. CMORPH overestimated the average
rainfall rate while the maximum rainfall was slightly underestimated. TRMM average
rainfall rate and rainfall volume correlated extremely well with ground observations
whereas the maximum rainfall was systematically overestimated suggesting deficiencies in
the bias correction procedure to filter noisy measurements. The preferential direction of
error displacement in satellite©\estimated MCSs was in the east©\west direction for
CMORPH and TRMM. Discrepancies in the fine structure of the storms dominated the
error decomposition of all satellite products. Errors in the spatial location of the systems
influenced the magnitude of simulated peaks but did not have a significant impact on
the timing indicating that the system¡¯s response to precipitation was mitigating the effect of
the errors.¨C2003 in the La Plata river basin, southeastern South America, were analyzed with
the Contiguous Rain Area (CRA) method. Errors in storms intensity, volume, and spatial
location were evaluated. A macroscale hydrological model was used to assess the impact
of spatially shifted precipitation on streamflows simulations. PERSIANN underestimated
the observed average rainfall rate and maximum rainfall consistent with the detection of
storm areas systematically larger than observed. CMORPH overestimated the average
rainfall rate while the maximum rainfall was slightly underestimated. TRMM average
rainfall rate and rainfall volume correlated extremely well with ground observations
whereas the maximum rainfall was systematically overestimated suggesting deficiencies in
the bias correction procedure to filter noisy measurements. The preferential direction of
error displacement in satellite©\estimated MCSs was in the east©\west direction for
CMORPH and TRMM. Discrepancies in the fine structure of the storms dominated the
error decomposition of all satellite products. Errors in the spatial location of the systems
influenced the magnitude of simulated peaks but did not have a significant impact on
the timing indicating that the system¡¯s response to precipitation was mitigating the effect of
the errors.©\estimated MCSs was in the east©\west direction for
CMORPH and TRMM. Discrepancies in the fine structure of the storms dominated the
error decomposition of all satellite products. Errors in the spatial location of the systems
influenced the magnitude of simulated peaks but did not have a significant impact on
the timing indicating that the system¡¯s response to precipitation was mitigating the effect of
the errors.¡¯s response to precipitation was mitigating the effect of
the errors.
