5 results on '"Jimenez Arellano, Claudia"'
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2. Performance of the PERSIANN Family of Products over the Mekong River Basin and Their Application for the Analysis of Trends in Extreme Precipitation Indices.
- Author
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Jimenez Arellano, Claudia, Dao, Vu, Afzali Gorooh, Vesta, Alharbi, Raied Saad, and Nguyen, Phu
- Subjects
- *
TREND analysis , *WATERSHEDS , *PRECIPITATION gauges , *ARTIFICIAL neural networks , *RAINFALL , *REMOTE sensing , *SPATIAL resolution - Abstract
Near-real-time satellite precipitation estimation is indispensable in areas where ground-based measurements are not available. In this study, an evaluation of two near-real-time products from the Center for Hydrometeorology and Remote Sensing at the University of California, Irvine—PERSIANN-CCS (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks—Cloud Classification System) and PDIR-Now (PERSIANN-Dynamic Infrared Rain Rate near-real-time)—were compared to each other and evaluated against IMERG Final (Integrated Multi-satellite Retrievals for Global Precipitation Measurement—Final Run) from 2015 to 2020 over the Mekong River Basin and Delta (MRB) using a spatial resolution of 0.1 ∘ by 0.1 ∘ and at a daily scale. PERSIANN-CDR (PERSIANN-Climate Data Record) was also included in the evaluation but was not compared against the real-time products. In this evaluation, PDIR-Now exhibited a superior performance to that of PERSIANN-CCS, and the performance of PERSIANN-CDR was deemed satisfactory. The second part of the study entailed performing a Mann–Kendall trend test of extreme precipitation indices using 38 years of PERSIANN-CDR data over the MRB. This annual trend analysis showed that extreme precipitation over the 95th and 99th percentiles has decreased over the Upper Mekong River Basin, and the consecutive number of wet days has increased over the Lower Mekong River Basin. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
3. Advances in Precipitation Retrieval and Applications from Low-Earth-Orbiting Satellite Information.
- Author
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Afzali Gorooh, Vesta, Hsu, Kuolin, Ferraro, Ralph, Turk, Joe, Meng, Huan, Nguyen, Phu, Jimenez Arellano, Claudia, Kalluri, Satya, and Sorooshian, Soroosh
- Subjects
REMOTE sensing ,HYDROMETEOROLOGY ,NATURAL satellites ,RAINFALL - Abstract
This article discusses the advancements in precipitation retrieval and applications from low-Earth-orbiting (LEO) satellite information. The workshop, sponsored by the Center for Hydrometeorology and Remote Sensing, brought together scientists and stakeholders to discuss the state of the science and users' needs for operational precipitation algorithms and products. The workshop covered various topics, including observation system requirements, algorithm development, and the uncertainties associated with satellite data. The recommendations from the workshop emphasized the need for collaboration, accurate calibration of sensors, and the development of robust algorithms to improve the accuracy of global precipitation products. [Extracted from the article]
- Published
- 2023
- Full Text
- View/download PDF
4. Thermal Mapping and Evaporation Estimation of Cochiti Lake Using Landsat 8 Imagery
- Author
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Dr. Mark Stone, Dr. Jacob Collison, Dr. Christopher Lippitt, Dr. Ricardo Gonzalez-Pinzon, Jimenez Arellano, Claudia, Dr. Mark Stone, Dr. Jacob Collison, Dr. Christopher Lippitt, Dr. Ricardo Gonzalez-Pinzon, and Jimenez Arellano, Claudia
- Subjects
- Evaporation
- Abstract
Satellite remote sensing (RS) techniques have revolutionized the study of spatial and temporal processes in environmental science and water resources engineering. This study was focused on advancing the understanding of RS techniques to provide estimates of spatial variability of surface water temperature and corresponding evaporation rates for open water. Evaporation plays a crucial role in water budgets, which is critical knowledge for water management, especially in arid environments. However, there are few methods to estimate its spatial variability, which is relevant because water does not evaporate equally everywhere on a large waterbody. Hence, we cannot assume the calculations of evaporations extrapolated from a point-measurement represent an entire water body. Remote sensing technologies, such as satellite imagery, can provide a better sense of spatial heterogeneity of surface water temperatures, and hence evaporation rates. Thermal-Infrared (TIR) sensors, provide the potential to estimate spatially varying evaporation rates from an entire water body. Several studies in the past have used TIR technologies to estimate evapotranspiration, but open-water evaporation has not been thoroughly studied. The goal of this study was to assess the applicability of TIR sensors for estimation surface water temperature and open-water evaporation rates at Cochiti Lake, New Mexico, USA. This was accomplished by comparing surface water temperature data derived from Landsat 8 imagery to in-situ measurements from a Collison Floating Evaporation Pan (CFEP). A regression approach was used to extrapolate evaporation measurements from the CFEP to the entire lake. The results indicate that these techniques hold the potential to advance knowledge of spatial variability of these variables, and hence, to improve the accuracy of water budgets for water resources management.
- Published
- 2020
5. Thermal Mapping and Evaporation Estimation of Cochiti Lake Using Landsat 8 Imagery
- Author
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Jimenez Arellano, Claudia
- Subjects
- Evaporation, Landsat, remote sensing, temperature mapping, spatial variation, Civil and Environmental Engineering
- Abstract
Satellite remote sensing (RS) techniques have revolutionized the study of spatial and temporal processes in environmental science and water resources engineering. This study was focused on advancing the understanding of RS techniques to provide estimates of spatial variability of surface water temperature and corresponding evaporation rates for open water. Evaporation plays a crucial role in water budgets, which is critical knowledge for water management, especially in arid environments. However, there are few methods to estimate its spatial variability, which is relevant because water does not evaporate equally everywhere on a large waterbody. Hence, we cannot assume the calculations of evaporations extrapolated from a point-measurement represent an entire water body. Remote sensing technologies, such as satellite imagery, can provide a better sense of spatial heterogeneity of surface water temperatures, and hence evaporation rates. Thermal-Infrared (TIR) sensors, provide the potential to estimate spatially varying evaporation rates from an entire water body. Several studies in the past have used TIR technologies to estimate evapotranspiration, but open-water evaporation has not been thoroughly studied. The goal of this study was to assess the applicability of TIR sensors for estimation surface water temperature and open-water evaporation rates at Cochiti Lake, New Mexico, USA. This was accomplished by comparing surface water temperature data derived from Landsat 8 imagery to in-situ measurements from a Collison Floating Evaporation Pan (CFEP). A regression approach was used to extrapolate evaporation measurements from the CFEP to the entire lake. The results indicate that these techniques hold the potential to advance knowledge of spatial variability of these variables, and hence, to improve the accuracy of water budgets for water resources management.
- Published
- 2020
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