Validation of Satellite Estimates (Tropical Rainfall Measuring Mission, TRMM) for Rainfall Variability over the Pacific Slope and Coast of Ecuador

Abstract

A dense rain-gauge network within continental Ecuador was used to evaluate the quality of various products of rainfall data over the Pacific slope and coast of Ecuador (EPSC). A cokriging interpolation method is applied to the rain-gauge data yielding a gridded product at 5-km resolution covering the period 1965-2015. This product is compared with the Global Precipitation Climatology Centre (GPCC) dataset, the Climatic Research Unit-University of East Anglia (CRU) dataset, the Tropical Rainfall Measuring Mission (TRMM/TMPA 3B43 Version 7) dataset and the ERA-Interim Reanalysis. The analysis reveals that TRMM data show the most realistic features. The relative bias index (Rbias) indicates that TRMM data is closer to the observations, mainly over lowlands (mean Rbias of 7%) but have more limitations in reproducing the rainfall variability over the Andes (mean Rbias of −28%). The average RMSE and Rbias of 68.7 and −2.8% of TRMM are comparable with the GPCC (69.8 and 5.7%) and CRU (102.3 and −2.3%) products. This study also focuses on the rainfall inter-annual variability over the study region which experiences floods that have caused high economic losses during extreme El Niño events. Finally, our analysis evaluates the ability of TRMM data to reproduce rainfall events during El Niño years over the study area and the large basins of Esmeraldas and Guayas rivers. The results show that TRMM estimates report reasonable levels of heavy rainfall detection (for the extreme 1998 El Niño event) over the EPSC and specifically towards the center-south of the EPSC (Guayas basin) but present underestimations for the moderate El Niño of 2002-2003 event and the weak 2009-2010 event. Generally, the rainfall seasonal features, quantity and long-term climatology patterns are relatively well estimated by TRMM.

Consistency of satellite precipitation estimates in space and over time compared with gauge observations and snow-hydrological modelling in the Lake Titicaca region

“…SPE assessment has indeed focussed on: (i) a single or a limited sample of SPEs (e.g. Cao et al, 2018;Erazo et al, 2018;Shrestha et al, 2017); (ii) transition from the previous to a new version of an algorithm for a specified SPE (TMPA-v6 to TMPA-v7 for example) (e.g. Chen et al, 2013;Melo et al, 2015;Milewski et al, 2015); and (iii) the effectiveness of the transition from the first (TRMM) to the second (GPM) generation of SPEs (e.g.…”

Consistency of satellite-based precipitation products in space and over time compared with gauge observations and snow- hydrological modelling in the Lake Titicaca region

“…Hublart et al, 2016), climate studies (e.g. Espinoza Villar et al, 2009), extreme flooding (e.g. Ovando et al, 2016), drought (e.g.…”

Rainfall monitoring network design using conditioned Latin hypercube sampling and satellite precipitation estimates: An application in the ungauged Ecuadorian Amazon

“…Although satellite precipitation estimates are relatively inaccurate compared to rain gauge measurements, their exhaustive coverage provides valuable information to identify spatio‐temporal features of precipitation over any given area (Libertino et al ., ). Previous studies in Ecuador showed the suitability of TRMM estimates to characterize long‐term precipitation climatology (Ochoa et al ., ; Ballari et al ., ; Ulloa et al ., ; Erazo et al ., ). Dai et al .…”