Grid box-level evaluation of IMERG over Brazil at various space and time scales

Gadelha, André N.; Coelho, Victor; Xavier, Alexandre Cândido; Barbosa, Luís Romero; Melo, Djair Alves de; Xuan, Yunqing; Huffman, George J.; Petersen, Walt; Almeida, Cristiano das Neves

doi:10.1016/j.atmosres.2018.12.001

Cited by 65 publications

(42 citation statements)

References 74 publications

(67 reference statements)

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“…We used a ground-based gridded rainfall to retrieve daily P data (from 1980 to 2015) with 0.25° × 0.25° spatial resolution [40]. The gridded P data were obtained by interpolation technique using data from ~4,000 rain gauges over the Brazil [i.e., 40] and have been widely used in regional studies [41][42][43][44].…”

Section: Precipitation Evapotranspiration and Water Storage Change Datamentioning

confidence: 99%

Significant baseflow reduction in the Sao Francisco River Basin

Lucas¹,

Kublik²,

Rodrigues³

et al. 2020

Preprint

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Water scarcity is a key challenge to global development. In Brazil, the Sao Francisco River Basin (SFB) has experienced water scarcity problems because of decreasing streamflow and increasing demands from multiple sectors. However, the drivers of decreased streamflow, particularly the potential role of surface-groundwater interaction, have not been yet investigated. Here, we assess long-term trends in baseflow, quickflow, and streamflow of the SFB during 1980–2015 and constrain the most likely drivers of observed decreases through trend analysis of precipitation (P), evapotranspiration (ET), and terrestrial water storage change (TWS). We found that over 82% of the observed decrease in streamflow can be attributed to a significant decreasing baseflow trend (< -20 m3 s-1 y-1) along the SFR with spatial agreement between decreased baseflow, increased ET, and irrigated agricultural land. We also noted a decrease in TWS across the SFB with trends exceeding -20 mm y-1. Overall, our findings indicate that decreasing groundwater contributions (i.e., baseflow) is providing the observed reduction in total SFR flow. A lack of significant P trends indicates that only P variability likely has not caused the observed baseflow reduction, mainly in the Middle and Sub-middle SFB. Therefore, groundwater and surface withdrawals may be likely a driver of water scarcity over the SFB.

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Section: Precipitation Evapotranspiration and Water Storage Change Datamentioning

confidence: 99%

Significant baseflow reduction in the Sao Francisco River Basin

Lucas¹,

Kublik²,

Rodrigues³

et al. 2020

Preprint

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“…Since the release of Version 5 of IMERG products, several researchers have evaluated the improvements and weaknesses of its near real-time and post real-time precipitation estimates in different regions and climatic conditions with reference to ground-based or other prevailing remotely sensed precipitation products [23,[38][39][40][41][42][43][44][45][46]. For instance, Yuan et al [41] concluded that the IMERG-V05 Final run product is an adequate replacement for the post-real-time TMPA-3B42 precipitation product in Myanmar.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Version 5 (V05) of Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (IMERG) over the Tianshan Mountains of China

Yang

Anjum

et al. 2019

Water

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This study evaluated the performance of the Integrated Multi-satellite Retrievals for Global Precipitation Measurement (IMERG) version 5 (V05) Early-run and Final-run (IMERG-E and IMERG-F, respectively) products over the Tianshan Mountains. For comparison, the accuracies of two Tropical Rainfall Measuring Mission (TRMM) products (3B42RT and 3B42V7) were also analyzed. Performance of the satellite-based precipitation products (SPPs) was analyzed at daily to annual scales from April 2014 to October 2017. Results showed that: (1) IMERG-F and 3B42V7 performed better than IMERG-E and 3B42RT in the characterization of spatiotemporal variability of precipitation; (2) Precipitation estimates from IMERG-F were in the best overall agreement with the gauge-based data, followed by IMERG-E and 3B42V7 on all temporal scales; (3) IMERG-E and 3B42RT products were failed to provide accurate precipitation amounts, whereas IMERG-F and 3B42V7 were able to provide accurate precipitation estimates with the lowest relative biases (4.98% and −1.71%, respectively) and RMSE (0.58 mm/day and 0.76 mm/day, respectively); (4) The enhancement from the IMERG Early-run to the Final-run to capture the moderate to heavy precipitation events was not evident; (5) On seasonal scale, IMEGR-F performed better than all other SPPs, particularly during the spring season with negligible bias (0.28%). It was deduced that IMERG-F was capable of replacing TRMM products.

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“…Specifically the ones who conducted their research on GPM products' assessment. The purpose of using the same matrices is to facilitate the comparison between the results obtained in this research and the previous studies (Anjum et al, 2018;Gadelha et al, 2019;Tang et al, 2016). 8.…”

Section: Discussion Papermentioning

confidence: 99%

Response to Reviewer's Comments

Hamouda¹

2020

Preprint

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The authors would like to thank Dr. Husain Najafi for his valuable comments. We really appreciate the time invested in reviewing the manuscript, which indeed help to improve the quality of our paper. We have followed the comments carefully and responded to each comment or suggestion.The reviewer has touched upon important points that need to be addressed in our revision of the manuscript. The authors' strived to make sure that the applied methods in C1

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Grid box-level evaluation of IMERG over Brazil at various space and time scales

Cited by 65 publications

References 74 publications

Significant baseflow reduction in the Sao Francisco River Basin

Significant baseflow reduction in the Sao Francisco River Basin

Performance Evaluation of Version 5 (V05) of Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (IMERG) over the Tianshan Mountains of China

Response to Reviewer's Comments

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