Gonzalo E. Espinoza-Dávalos

Gonzalo E. Espinoza-Dávalos
Environmental Systems Research Institute (ESRI) | ESRI · Software Products

13.48
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Ph.D.
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Project
Tethys Platform is an open source software package based on the Django framework and Python programming language. Tethys web apps are built using a Python-powered Software Development Kit. In addition to the tools provided by Tethys, you can incorporate any Python module that your app needs to work with your models and data.
Research
Research items (30)
Data
The data set contains the monthly statistics for the SOILM0-100cm variable (0-100 cm top 1 meter soil moisture content) of the North American Land Data Assimilation System Version 2 (NLDAS-2) model. The period of analysis is from 1979-01-02 to 2013-12-31. The statistics for each calendar month are the mean, standard deviation, minimum, maximum, and...
Article
The purpose of this research is to enable better understanding of current environmental conditions through the relations of environmental variables to the historical record. Our approach is to organize and visualize land surface model (LSM) outputs and statistics in a web application, using the latest technologies in geographic information systems...
Article
A new method of participatory decision support that can be used in transboundary basins is presented. The framework of this method relies first on the creation of a transboundary geographic information system database to store hydrologic data and allow easy access to data from stakeholders. A participatory hydro-political framework is developed to...
Article
After the launch of the Global Precipitation Measurement (GPM) mission in 2014, many Satellite Precipitation Products (SPPs) are available at finer spatiotemporal resolution and/or with reduced latency, potentially increasing the applicability of SPPs for Near Real-Time (NRT) applications. Therefore, there is a need to evaluate the NRT SPPs in the...
Article
Full-text available
Actual evapotranspiration (ET) is a major component of the water balance. While several international flux measurement programs have been executed in the tropical rain forest of the Amazon, those measurements represent the evaporative process at a few selected sites only. The aim of this study is to obtain the spatial distribution of ET, using remo...
Data
The data set contains the monthly statistics for the EVPsfc variable (total evapotranspiration) of the North American Land Data Assimilation System Version 2 (NLDAS-2) model. The period of analysis is from 1979-01-02 to 2013-12-31. The statistics for each calendar month are the mean, standard deviation, minimum, maximum, and percentiles in 0.05 int...
Data
The data set contains the monthly statistics for the APCPsfc variable (precipitation total) of the North American Land Data Assimilation System Version 2 (NLDAS-2) model. The period of analysis is from 1979-01-02 to 2013-12-31. The statistics for each calendar month are the mean, standard deviation, minimum, maximum, and percentiles in 0.05 interva...
Data
The data set contains the daily statistics for the APCPsfc variable (precipitation total) of the North American Land Data Assimilation System Version 2 (NLDAS-2) model. The period of analysis is from 1979-01-02 to 2013-12-31. The statistics for each calendar month are the mean, standard deviation, minimum, maximum, probability of event, and percent...
Data
The data set contains the monthly statistics for the TMP2m variable (2-m above ground temperature) of the North American Land Data Assimilation System Version 2 (NLDAS-2) model. The period of analysis is from 1979-01-02 to 2013-12-31. The statistics for each calendar month are the mean, standard deviation, minimum, maximum, and percentiles in 0.05...
Data
The data set contains the daily statistics for the SOILM0-100cm variable (0-100 cm top 1 meter soil moisture content) of the North American Land Data Assimilation System Version 2 (NLDAS-2) model. The period of analysis is from 1979-01-02 to 2013-12-31. The statistics for each calendar month are the mean, standard deviation, minimum, maximum, and p...
Data
The data set contains the monthly statistics for the SSRUNsfc variable (surface runoff - non-infiltrating) of the North American Land Data Assimilation System Version 2 (NLDAS-2) model. The period of analysis is from 1979-01-02 to 2013-12-31. The statistics for each calendar month are the mean, standard deviation, minimum, maximum, and percentiles...
Data
The data set contains the daily statistics for the EVPsfc variable (total evapotranspiration) of the North American Land Data Assimilation System Version 2 (NLDAS-2) model. The period of analysis is from 1979-01-02 to 2013-12-31. The statistics for each calendar month are the mean, standard deviation, minimum, maximum, and percentiles in 0.05 inter...
Data
The data set contains the daily statistics for the SSRUNsfc variable (surface runoff - non-infiltrating) of the North American Land Data Assimilation System Version 2 (NLDAS-2) model. The period of analysis is from 1979-01-02 to 2013-12-31. The statistics for each calendar month are the mean, standard deviation, minimum, maximum, probability of eve...
Data
The data set contains the daily statistics for the TMP2m variable (2-m above ground temperature) of the North American Land Data Assimilation System Version 2 (NLDAS-2) model. The period of analysis is from 1979-01-02 to 2013-12-31. The statistics for each calendar month are the mean, standard deviation, minimum, maximum, and percentiles in 0.05 in...
Thesis
The Land Data Assimilation System (LDAS) is a model developed by the National Aeronautics and Space Administration (NASA) for the purpose of quantifying the heat and water fluxes between the atmosphere and the land-surface hydrology. LDAS has two forms: National (NLDAS) and Global (GLDAS). The NLDAS grid is 1/8° with hourly and monthly estimates si...
Conference Paper
A new method of participatory decision support that can be used in transboundary basins is presented. The framework of this method relies first on the creation of a transboundary geographic information system database to store hydrologic data and allow easy access to data by stakeholders. Results show that the countries of the Jordan River could be...
Article
This article analyzes the water security risks in the Orontes basin shared between Syria, Lebanon and Turkey. A complete description of the watershed's hydrography and hydrology is presented, and then, using a geographic database, an optimization method is used based on the nine factors of the UN Convention to allocate water equitably between the c...
Article
The Orontes River Basin is shared among Lebanon, Syria, and Turkey. These waters are a critical resource for the development of these co-riparians in terms of both water and national security. This article presents the results of a comprehensive institutional study of river basin agreement and conflicts in the Orontes Basin since the 1920s. This ar...
Article
World Water Online is a global system of hydrologic data. It is an integration of geospatial and temporal information across spatial scales: global, national, regional and local. This global water information system has no parallel, and its scope would be extended with the active participation of the global water community. Its consolidation depend...