Juan Diego Giraldo-Osorio- CE, MSc, PhD
- Professor (Associate) at Pontifical Xavierian University
Juan Diego Giraldo-Osorio
- CE, MSc, PhD
- Professor (Associate) at Pontifical Xavierian University
About
51
Publications
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733
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Introduction
Main field of expertise on hydrology and climate change: use of data from climate models for analysis of future trends and bias of hydrological variables, nonstationary pdf, risk maps of climate change impacts on social, environmental and economic affairs, etc.
Also, there is interest on remote sensing technology and applied informatic: surface temperature maps, detection of flooded areas using satellite images and digital terrain model, development of new tools with open source GIS, etc.
Current institution
Additional affiliations
January 2012 - December 2017
Position
- Professor (Assistant)
Description
- Hydrology Fluid Mechanic Introduction to climate change GIS and Remote Sensing
March 2011 - December 2011
Position
- Evaluation of drought impact and soil use on the water cycle integrating remote sensing data in hydrology models
Description
- Ministerio de Ciencia e Innovación. Evaluación del impacto de sequías y del uso del suelo en el ciclo hidrológico mediante asimilación de datos de teledetección en modelos hidrológicos.
January 2010 - January 2011
Position
- Development of drought and water scarcity indexes in a climate change framework.
Description
- Confederación Hidrográfica del Segura. Ministerio de Medio Ambiente, y Medio Rural y Marino de España. Desarrollo de indicadores de sequía y escasez hídrica en el contexto del cambio climático: Apoyo el mandato Water Scarcity and Droughts.
Education
November 2005 - December 2011
January 2002 - December 2003
February 1996 - December 2001
Publications
Publications (51)
Human-induced warming is modifying the water cycle. Adaptation to posed threats requires an understanding of hydrological responses to climate variability. Whilst these can be computationally modelled, observed streamflow data is essential for constraining models, and understanding and quantifying emerging trends in the water cycle. To date, the id...
Mining investment provides great economic benefits for the countries that exploit such resources, especially those in development, where the elaboration of political frameworks can turn them into an important focus for foreign investment.
In this work, the influence of the El Niño Southern Oscillation (ENSO) on the Extreme Precipitation Indices (EPIs) was analyzed, and these ENSO-forced anomalies were compared with the long-term change in the EPIs. The annual time series of the EPIs were built from 880 precipitation stations that contained daily records between 1979 and 2022. These...
In Colombia, most of the energy is produced by using water resources. However, the morphological impact of damming has not been thoroughly studied yet. Therefore, upstream and downstream changes in the channel width and sinuosity along the river due to the Betania, Prado, Salvajina, and Urrá I Dams, four of the oldest hydroelectric projects, were e...
Improvements in satellite remote sensing techniques have allowed the development of several platforms that are able to capture multitemporal data with a wide range of spatial and temporal resolutions [...]
Climate change includes the change of the long-term average values and the change of the tails of probability density functions, where the extreme events are located. However, obtaining average values are more straightforward than the high temporal resolution information necessary to catch the extreme events on those tails. Such information is diff...
The seasonally-dry tropics of northern Costa Rica are characterized by recurrent drought events with negative socioeconomic impacts on a vulnerable population. Scarce hydroclimatic observational data constraints reasonable water management and often results in water scarcity issues. This study analyses hydrological drought situations using freely a...
The seasonally-dry tropics of northern Costa Rica are characterized by recurrent drought events with negative socioeconomic impacts on a vulnerable population. Scarce hydroclimatic observational data constraints reasonable water management and often results in water scarcity issues. This study analyses hydrological drought situations using freely a...
El objetivo del artículo es estudiar la relación y el grado de asociación entre los componentes monetarios y los factores emocionales de los trabajadores en Colombia, con el fin de determinar cuáles de estos están asociados de manera positiva o negativa con la satisfacción laboral de las personas que tienen un empleo remunerado. Se tomaron los dato...
The accurate representation of spatio-temporal patterns of precipitation is an essential input for numerous environmental applications. However, the estimation of precipitation patterns derived solely from rain gauges is subject to large uncertainties. We present the Random Forest based MErging Procedure (RF-MEP), which combines information from gr...
Evapotranspiration estimation is a very important input for the estimation of the water requirement of crops, in particular those of high economic interest, such as oil palm, object of study of this research. Based on the above, there is a need for evaluating different inputs for crop evapotranspiration (ET) estimation, as well as to better underst...
Bogota Water and Sewerage Company is carrying out plans and works of ecological restoration in urban wetland ecosystems aimed to recovering its biotic, scenic and environmental functions. The most outstanding is the hydrogeomorphological reconfiguration to store bigger volumes of runoff water and to control the routing and storage of rises in water...
Central America is a region vulnerable to hydrometeorological threats. Recently, the impacts of droughts caused higher economic losses in comparison to, for example, floods and landslides. This study focuses on the spatio‐temporal behaviour of cumulative rainfall deficits across Central America attempting to provide an historical context to the mos...
In developing countries, an accurate representation of the spatio-temporal variability of rainfall is currently severely limited, therefore, satellite-based rainfall estimates (SREs) are promising alternatives. In this work, six state-of-the-art SREs (TRMM 3B42v7, TRMM 3B42RT, CHIRPSv2, CMORPHv1, PERSIANN-CDR, and MSWEPv2) are evaluated over three...
Climate model outputs can be used as climate forcing for hydrological models to study the impact of climate change on the water cycle. This usually propagates cumulative uncertainties, transferring the errors from the climate models to the hydrological models. Then, methodologies are needed to evaluate the impact of climate change at basin scale by...
Resumen: Estudiar la variabilidad a largo plazo y las tendencias cambiantes de la precipitación en España, debido a su gradiente latitudinal de precipitación y su compleja orografía, pueden proveer de información relevante sobre cómo la hidroclimatología de la zona ha cambiado. La disponibilidad de un reciente producto de precipitación global de al...
Resumen: El objetivo del presente trabajo es generar mapas de temperatura superficial (Land Surface Temperature; LST) con resolución espacial más fina, a partir de productos con resolución espacial gruesa (e. g. MODIS, cuyos productos de temperatura superficial tienen 1000 m de resolución espacial). Se propone utilizar el Modelo de Mezcla Lineal (L...
The changes on climatic variables precipitation and temperature are evaluated in six main Colombian basins. The changes were evaluated through the University of Delaware Air Temperature & Precipitation (UD-ATP) database, which has data from 1901 to 2010. The work includes significance tests of estimated change, limited by both UD-ATP database spati...
Rain gauge stations from the urban area of Bogotá (Colombia) were used to correct the nonuniform bias in the CMORPH satellite product, which has a temporal resolution of 3 hours, using a Gaussian Process Regression. The correction of the satellite data was performed in both monthly and yearly basis, to observe the influence of seasonality in the bi...
The present study has developed a regional frequency analysis for Annual Maximum Temperature (AMT) in the hydrographic basins of Colombia. The L-moments methodology was applied for the regionalization. Five stages were considered to apply the methodology: data analysis; the L-Moments estimation; identification of homogeneous regions; fit of probabi...
The regional climate models (RCMs) improve the understanding of the climate mechanism, and are often used as climate forcing to hydrological impact models. Rainfall is the principal input to the water cycle, so special attention should be paid to its accurate estimation. However, climate change projections of rainfall events exhibit great divergenc...
Improving the knowledge about the impacts of climate change on extreme drought events at basin scale, is important for decision makers in order to develop drought contingency plans which are the leading edge of adaptive management strategy. Considering high-resolution grids of observed daily rainfall and information provided by latest-generation Re...
Vast sections of the planet face either a dearth of ground-based weather stations or are hampered by the poor quality of those in service. In response, researchers are forced to turn to climate field databases, as they constitute a source of reliable information for local studies. Insofar as the Amazon region, these databases prove to be valuable g...
In basins of South-eastern Spain; such as the semiarid Segura River Basin (SRB), a strong decrease in runoff from the end of the 1970s has been observed. However, in the SRB the decreasing trend is not only related with climate variability and change, also with intensive reforestation aimed at halting desertification and erosion, whichever the reas...
Population growth and intense consumptive water uses are generating pressures on water resources in the southeast of Spain. Improving the knowledge of the climate change impacts on water cycle processes at the basin scale is a step to building adaptive capacity. In this work, regional climate model (RCM) ensembles are considered as an input to the...
Según el censo de 2013, Colombia tenía una población de 48.321.405 personas, lo que supone un incremento de 616.978 habitantes respecto de 2012, en que la población fue de 47.704.427 personas. La población femenina es mayoritaria, con 24.562.767 mu-jeres, lo que supone 50.83% del total, frente a los 23.758.638 hombres que son 49.16%. La densidad de...
According to the 2013 Census, the population of Colombia that year was 48,321,405, an increase of 616,978 inhabitants versus 2012 when the population was 47,704,427 persons. There are more women than men, with a split of 50.83% (64,562,767 women) /49.16% (23,758,638 men). The population density is moderate with 42 inhabitants/sq. km. and Colombia i...
This volume is the second in a series on water, published in both Spanish and English, and intended to reach a wide policy audience. The first volume offered a broad assessment of the status of water resources in the Americas. This second volume addresses the fundamental problem of urban water challenges. The Hemisphere of the Americas is among the...
Debido a que la relación entre la escorrentía y la variabilidad climática es muy compleja, y dichas incertidumbres son aún mayores en el marco del cambio climático, este estudio pretende dar una idea del comportamiento del recurso hídrico al interior de la cuenca del río Magdalena ante los posibles cambios de variables climáticas como la precipitac...
En amplias regiones del planeta, como la Amazonía, la información de las variables climatológicas se caracteriza por ser incompleta, fragmentada y desactualizada, lo cual constituye una de las principales limitantes para la realización de estudios climatológicos. Es necesario recurrir a bases de datos con información interpolada de las variables de...
In basins of South-eastern Spain, such as the Segura River Basin (SRB),
a strong decrease in runoff from the end of the 1970s has been observed.
In the SRB, due to intensive reforestation aimed at halting
desertification and erosion, added to climate variability and change,
the default assumption of stationarity in water resources systems cannot
be...
Highlights
► Present and future monsoon Annual Maximum Dry Spell Length (AMDSL), were analyzed. ► Observed and RCM data of rain were used to extract the time series of dry spells. ► An innovative tool was used to catch the non-stationary behaviour of dry spells. ► Bootstrapping techniques were used to build regional non-stationary pdf’s of AMDSL. ►...
Traditional ‘in situ’ measurement techniques often fail to record the spatial distribution of floodplains. In that case, remote sensing provides inexpensive and reliable methodologies to map flooded areas and compute flood damage. The identification and monitoring of floods, due to their highly dynamic nature, require the use of high-time-resolutio...
Spain is one of the European countries with most environmental problems related to water scarcity and droughts. Additionally, several studies suggest trends of increasing temperature and decreasing rainfall, mainly for the Iberian Peninsula, due to climate variability and change. While Regional Climate Models (RCM) are a valuable tool for understan...
The Segura River Basin (SRB) located in the South East of Spain, is
affected by recurrent drought and water scarcity episodes. This basin
presents the lowest percentage of renewable water resources of all the
Spanish basins. Intensive reforestation has been carried out in the
region, to halt desertification and erosion, which added to climate
chang...
The Sudano-Sahelian zone of West Africa, one of the poorest of the Earth, is characterized by high rainfall variability and rapid population growth. In this region, heavy storm events frequently cause extensive damage. Nonetheless, the projections for change in extreme rainfall values have shown a great divergence between Regional Climate Models (R...
The vulnerability of semi-arid basins such as the Segura River basin (southeast Spain), to rainfall
variability, implies uncertainties in agricultural activities. Increasing the knowledge about plausible trends of
drought events will improve the adaptation and mitigation measures. The non-stationary character of
hydrometeorological series, based on...
Heavy storm events frequently cause extensive damage, and often result in loss of life and
property. The objective of this work is to build maps of Annual Maximum Daily Rainfall (AMDR) for
various return periods for the Senegal River Basin. However, traditional stationary analyses are not suitable,
since meaningful trends have been detected in hist...
West Africa and its people are very vulnerable to climate variability and changes. Increasing the knowledge of plausible trends of rainfall dry spell lengths (DSL) in the rainy season, and of runoff, enables the assessment of vulnerability and adaptive capacity of the system. These predictions are crucial from a water management and policy perspect...
La Cuenca del río Senegal, en el África Occidental, se ha visto afectada por severos periodos secos desde 1970. La actividad agrícola que se desarrolla en su valle es el soporte de una región densamente poblada, muy vulnerable a la variabilidad climática y a la disponibilidad hídrica. Debido a esto, es de gran importancia aumentar el conocimiento a...
West Africa is highly vulnerable to climate variability. The precipitation latitudinal gradient determines agricultural activities. The cultivated area of the Sahel is a densely populated region, whereas flood recession agriculture is practiced in the Senegal River Valley. The present study analyses both spatial-temporal rainfall patterns of the RE...
The Segura River basin, located in southeast Spain, is a territory that is becoming more and more vulnerable to rainfall variability. This implies uncertainties in agricultural activities due to the scarcity of water and the increase in droughts. Early detection and spatio-temporal characterization of droughts, at a regional scale, could contribute...
La Cuenca del río Segura es un territorio que cada día está siendo más vulnerable a la variabilidad de la precipitación, ello conlleva incertidumbres en las actividades agrícolas debido a la escasez del agua y aumento de los eventos de sequía. El desarrollo de estrategias para hacer frente a los impactos del cambio climático es fundamental para con...
RESUMEN: Las técnicas de clasificación tradicionales de imágenes satélite utilizan " métodos duros " en el sentido que un píxel es asignado a una única clase de cobertura. Los " métodos suavizados " pueden ser utilizados con el fin de asignar diferentes clases de cobertura al interior de los píxeles gruesos. Se ha desarrollado una metodología de An...
Long-term average river discharges as well as peak and low flows of different return periods are estimated along the entire river network of Colombia, through the conjoint use of the long-term water balance in the river basins and the framework of statistical scaling, taking the average flow field as the scaling variable. Estimation of the long-ter...
A hydrological routing model that uses digital hydrological information in raster format is presented. The basin is represented by a set of rectangular pixels, where hydrological processes are adequately modeled. The basin topography is obtained from a DEM with appropriate resolution, which defines the river network topology. The infiltration is mo...
