Spatial and Temporal Analysis of Precipitation and Drought Trends Using the Climate Forecast System Reanalysis (CFSR)

Martinez-Cruz, D. A.; Gutiérrez, Mélida; Alarcón-Herrera, María Teresa

doi:10.1007/978-3-030-22464-6_8

Cited by 7 publications

(6 citation statements)

References 28 publications

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“…Groundwater occurrence in semi-arid environments is variable in space due to climate factors (low rainfall and high temperatures and evaporation rates) [15,30,132], geological characteristics of the basin [54], and LULC changes [133], among others. Thus, groundwater potential zone delineation in these environments turns essential because it enables more precise hydric resource research and a better understanding of their long-term use.…”

Section: Mapping Groundwater Potential Zones (Gwpzs)mentioning

confidence: 99%

Delineation of Groundwater Potential Zones (GWPZs) in a Semi-Arid Basin through Remote Sensing, GIS, and AHP Approaches

Uc-Castillo

Cruz

Ramos-Leal

et al. 2022

Water

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Groundwater occurrence in semi-arid regions is variable in space and time due to climate patterns, terrain features, and aquifer properties. Thus, accurate delineation of Groundwater Potential Zones (GWPZs) is essential for sustainable water resources management in these environments. The present research aims to delineate and assess GWPZs in a semi-arid basin of San Luis Potosi (SLP), Mexico, through the integration of Remote Sensing (RS), Geographic Information System (GIS), and Analytic Hierarchy Process (AHP). Seven thematic layers (geology, lineament density, land use and land cover, topographic wetness index (TWI), rainfall, drainage density, and slope) were generated in raster format. After the AHP procedure and rank assignment, the thematic layers were integrated using the raster calculator to obtain the GWPZs map. The results indicated that 68.21% of the area is classified as low groundwater potential, whereas 26.30% is classified as moderate. Validation was done by assessing the water residence time data from 15 wells distributed in the study area. Furthermore, the Receiver Operating Characteristics (ROC) curve was obtained, indicating a satisfactory accuracy prediction (AUC = 0.677). This study provides valuable information for decision-makers regarding the conservation and sustainable management of groundwater resources.

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Section: Mapping Groundwater Potential Zones (Gwpzs)mentioning

confidence: 99%

Delineation of Groundwater Potential Zones (GWPZs) in a Semi-Arid Basin through Remote Sensing, GIS, and AHP Approaches

Uc-Castillo

Cruz

Ramos-Leal

et al. 2022

Water

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“…The CSFR data is tested worldwide against the observed dataset (El Afandi, 2014; de Lima and Alcântara, 2019) and established as a viable option for hydro-climatic predictions for the data scare region. The CFSR weather data is extensively used for prediction of surface flow (Fuka et al, 2013;Dile and Srinivasan, 2014;Jajarmizadeh et al, 2016); extreme hydrologic events (Lu et al, 2020); droughts (Mo et al, 2011;Chen et al, 2019;Martinez-Cruz et al, 2020); and precipitation indices and extremes (Schmocker et al, 2016;Ren and Ren, 2017;Khedhaouiria et al, 2018;Alexander et al, 2020;Chunxiang et al, 2020). In this study, the daily CFSR precipitation dataset was extracted for Afghanistan and weighted average precipitation is computed at the provincial scale for 1979-2013 (35 years) period.…”

Section: Meteorological Datamentioning

confidence: 99%

Understanding Precipitation Characteristics of Afghanistan at Provincial Scale

Suryavanshi

Joshi

Maurya

et al. 2021

Preprint

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This study examines the pattern and trend of seasonal and annual precipitation along with extreme precipitation events in a data scare, south Asian country, Afghanistan. Seven extreme precipitation indices were considered based upon intensity, duration and frequency of precipitation events. The study revealed that precipitation pattern of Afghanistan is unevenly distributed at seasonal and yearly scales. Southern and Southwestern provinces remain significantly dry whereas, the Northern and Northeastern provinces receive comparatively higher precipitation. Spring and winter seasons bring about 80% of yearly precipitation in Afghanistan. However, a notable declining precipitation trend was observed in these two seasons. An increasing trend in precipitation was observed for the summer and autumn seasons, however; these seasons are the lean periods for precipitation. A declining annual precipitation trend was also revealed in many provinces of Afghanistan. Analysis of extreme precipitation indices reveals a general drier condition in Afghanistan. Large spatial variability was found in precipitation indices. In many provinces of Afghanistan, a significantly declining trends were observed in intensity-based (Rx1-day, RX5-day, SDII and R95p) and frequency-based (R10) precipitation indices. The duration-based precipitation indices (CDD and CWD) also infer a general drier climatic condition in Afghanistan. This study will assist the agriculture and allied sectors to take well-planned adaptive measures in dealing with the changing patterns of precipitation, and additionally, facilitating future studies for Afghanistan.

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“…The precipitation dataset provided by CFSR demonstrated more rainy days and high-intensity rainfall than in situ observations in the Bahe River basin in China (Hu et al 2017). In northern Mexico, the CFSR dataset was used to identify spatial and temporal variations and trends in precipitation and drought over a 35-year period (Martinez-Cruz et al 2020). CFSR precipitation datasets tend to overestimate rainfall in Bolivia, whereas TRMM 3B42 demonstrated an overall underestimation (Blacutt et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Assessment of gridded precipitation products in the hydrological modeling of a flood-prone mesoscale basin

Khan

Guan

2021

Hydrology Research

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Precipitation plays a critical role in hydrometeorological studies. A predictive analysis of gridded rainfall datasets may provide a cost-effective alternative to conventional rain gauge observations. Here, our objective is to evaluate the performance of satellite and reanalysis precipitation products in the hydrological modeling of a mesoscale watershed. The research also examines the accuracy of hydrological simulations in a sizeable flood-prone watershed in the absence of observed data associated with the myriad water retaining structures present in the catchment. We use three precipitation products, namely Tropical Rainfall Measurement Missions (TRMM) 3B42 Version 7, Climate Forecast System Reanalysis (CFSR), and daily precipitation data recorded at multiple rain gauges in the upper Huai River Basin to simulate streamflow. The Soil & Water Assessment Tool (SWAT) is utilized for runoff modeling, while SWAT-CUP is used to perform sensitivity analysis and to calibrate and validate the simulation results. Nash–Sutcliffe efficiency, percent bias, and Kling-Gupta efficiency (KGE) are employed to evaluate modeling efficiency for three precipitation datasets on different temporal scales. The results indicate that TRMM and CFSR datasets provide satisfactory results on both daily and monthly scales. Specifically, the SWAT model performs better at monthly simulations than daily simulations for all precipitation datasets used.

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Spatial and Temporal Analysis of Precipitation and Drought Trends Using the Climate Forecast System Reanalysis (CFSR)

Cited by 7 publications

References 28 publications

Delineation of Groundwater Potential Zones (GWPZs) in a Semi-Arid Basin through Remote Sensing, GIS, and AHP Approaches

Delineation of Groundwater Potential Zones (GWPZs) in a Semi-Arid Basin through Remote Sensing, GIS, and AHP Approaches

Understanding Precipitation Characteristics of Afghanistan at Provincial Scale

Assessment of gridded precipitation products in the hydrological modeling of a flood-prone mesoscale basin

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