Publications des scientifiques de l'IRD

Salles L., Satgé Frédéric, Roig H., Almeida T., Olivetti D., Ferreira W. (2019). Seasonal effect on spatial and temporal consistency of the new GPM-based IMERG-v5 and GSMaP-v7 satellite precipitation estimates in Brazil's central plateau region. Water, 11 (4), p. art. 668 [18 p.]. ISSN 2073-4441.

Titre du document
Seasonal effect on spatial and temporal consistency of the new GPM-based IMERG-v5 and GSMaP-v7 satellite precipitation estimates in Brazil's central plateau region
Année de publication
2019
Type de document
Article référencé dans le Web of Science WOS:000473105700038
Auteurs
Salles L., Satgé Frédéric, Roig H., Almeida T., Olivetti D., Ferreira W.
Source
Water, 2019, 11 (4), p. art. 668 [18 p.] ISSN 2073-4441
This study assesses the performance of the new Global Precipitation Measurement (GPM)-based satellite precipitation estimates (SPEs) datasets in the Brazilian Central Plateau and compares it with the previous Tropical Rainfall Measurement Mission (TRMM)-era datasets. To do so, the Integrated Multi-satellitE Retrievals for GPM (IMERG)-v5 and the Global Satellite Mapping of Precipitation (GSMaP)-v7 were evaluated at their original 0.1 degrees spatial resolution and for a 0.25 degrees grid for comparison with TRMM Multi-satellite Precipitation Analysis (TMPA). The assessment was made on an annual, monthly, and daily basis for both wet and dry seasons. Overall, IMERG presents the best annual and monthly results. In both time steps, IMERG's precipitation estimations present bias with lower magnitudes and smaller root-mean-square error. However, GSMaP performs slightly better for the daily time step based on categorical and quantitative statistical analysis. Both IMERG and GSMaP estimates are seasonally influenced, with the highest difficulty in estimating precipitation occurring during the dry season. Additionally, the study indicates that GPM-based SPEs products are capable of continuing TRMM-based precipitation monitoring with similar or even better accuracy than obtained previously with the widely used TMPA product.
Plan de classement
Hydrologie [062] ; Télédétection [126]
Description Géographique
BRESIL
Localisation
Fonds IRD [F B010076193]
Identifiant IRD
fdi:010076193
Contact