Consistency of satellite-based precipitation products in space and over time compared with gauge observations and snow- hydrological modelling in the Lake Titicaca region

Satgé, Frederic; Ruelland, Denis; Bonnet, Marie‐Paule; Molina, Jorge; Zolá, Ramiro Pillco

doi:10.5194/hess-23-595-2019

Cited by 76 publications

(75 citation statements)

References 94 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…CHIRPS is a global rainfall dataset at 0.05 arc degree resolution, derived from satellite and in-situ precipitation measurements, developed by the U.S. Geological Survey (USGS) and the Climate Hazards Group [58]. CHIRPS precipitation data were successfully validated in areas adjacent to the DP system [69,70]. Here, monthly accumulated precipitation from each on-site meteorological station was compared to the one provided by its corresponding CHIRPS pixel.…”

Section: Precipitation Datamentioning

confidence: 99%

Mapping Evapotranspiration, Vegetation and Precipitation Trends in the Catchment of the Shrinking Lake Poopó

2019

View full text Add to dashboard Cite

Lake Poopó is located in the Andean Mountain Range Plateau or Altiplano. A general decline in the lake water level has been observed in the last two decades, coinciding roughly with an intensification of agriculture exploitation, such as quinoa crops. Several factors have been linked with the shrinkage of the lake, including climate change, increased irrigation, mining extraction and population growth. Being an endorheic catchment, evapotranspiration (ET) losses are expected to be the main water output mechanism and previous studies demonstrated ET increases using Earth observation (EO) data. In this study, we seek to build upon these earlier findings by analyzing an ET time series dataset of higher spatial and temporal resolution, in conjunction with land cover and precipitation data. More specifically, we performed a spatio-temporal analysis, focusing on wet and dry periods, that showed that ET changes occur primarily in the wet period, while the dry period is approximately stationary. An analysis of vegetation trends performed using 500 MODIS vegetation index products (NDVI) also showed an overall increasing trend during the wet period. Analysis of NDVI and ET across land cover types showed that only croplands had experienced an increase in NDVI and ET losses, while natural covers showed either constant or decreasing NDVI trends together with increases in ET. The larger increase in vegetation and ET losses over agricultural regions, strongly suggests that cropping practices exacerbated water losses in these areas. This quantification provides essential information for the sustainable planning of water resources and land uses in the catchment. Finally, we examined the spatio-temporal trends of the precipitation using the newly available Climate Hazards Group Infrared Precipitation with Stations (CHIRPS-v2) product, which we validated with onsite rainfall measurements. When integrated over the entire catchment, precipitation and ET showed an average increasing trend of 5.2 mm yr−1 and 4.3 mm yr−1, respectively. This result suggests that, despite the increased ET losses, the catchment-wide water storage should have been offset by the higher precipitation. However, this result is only applicable to the catchment-wide water balance, and the location of water may have been altered (e.g., by river abstractions or by the creation of impoundments) to the detriment of the Lake Poopó downstream.

show abstract

Section: Precipitation Datamentioning

confidence: 99%

Mapping Evapotranspiration, Vegetation and Precipitation Trends in the Catchment of the Shrinking Lake Poopó

2019

View full text Add to dashboard Cite

show abstract

“…Group InfraRed Precipitation with Station data (CHIRPS)" was used. CHIRPS is a global rainfall dataset at 0.05 arc degree resolution based on satellite and in-situ precipitation measurements, developed by the U.S. Geological Survey (USGS) and the Climate Hazards Group (Funk et al, 2015).The CHIRPS precipitation data was successfully validated in a peripheral DP region by Satgé et al, 2019;Canedo et al, 2018. Here, monthly accumulated rainfall from the 14 on-site meteorological stations and from the CHIRPS data was compared. Those CHIRPS pixels coinciding with the location of the meteorological 30 stations were selected and the monthly accumulation was calculated for those, using a time series of 5,111 daily rainfall observations.…”

Section: Precipitation Data 20mentioning

confidence: 99%

Mapping long-term evapotranspiration losses in the catchment of the shrinking Lake Poopó

Torres-Batlló

Martí-Cardona

Pillco-Zolá

2019

Preprint

Self Cite

View full text Add to dashboard Cite

10Lake Poopó is located in the Andean Mountain Range Plateau or Altiplano. A generalised decline in the lake water level has been observed since 2001, coinciding roughly with an intensification of agriculture exploitations such as quinoa crops. Several factors have been blamed for the lake recession, including climate change, increased farming, mining abstractions and population growth. Being an endorheic catchment, evapotranspiration (ET) losses are expected to be the main water output 15 mechanism. This study used a time series of more than 1000 satellite data based products to map ET and vegetation index trends in the Poopó catchment between 2001 and 2014. The aim was to explore the links between ET, vegetation, land use and the lake recession. The years 2015 and 2016 were excluded of the analysis due to the strong impact of El Niño phenomenon over the study area, which could have masked long term temporal trends related to land use.We quantified the ET losses and vegetation indices for the main cover types in the Poopó catchment and their temporal trends 20 in the study period. It became obvious that cultivated areas were the ones which had experienced the largest increase in water consumption, although they were not in all instances the land covers with the largest losses. This quantification provides essential information for the sustainable planning of water resources and land uses in the catchment.We also collected on-site and satellite precipitation data. When integrated over the entire catchment, the overall ET losses showed a sustained increasing trend at an average rate of 3.2 mm yr -1 . Rainfall water inputs followed a similar trend, with a 25 slightly higher increasing rate of 5.2 mm yr -1 . Based on these results and from the point of view of the catchment water balance, the ET loss intensification derived from crop expansion has been compensated by the increase in precipitation. Consequently, this study found no clear link between the agriculture intensification and the Lake Poopó recession in the analysed period. 30 35 https://doi.

show abstract

“…In consequence, extrapolation of precipitation leads to inaccuracies in this conditions [2,3].On the other hand, the meteorological radar is an alternative but due to difficult accessibility of the site, the mountain barriers and the financial limitations the installation of radars is not feasible. For these reasons, satellite sensors is a viable option to assess the rainfall in this region [3,7,12,13].…”

Section: Introductionmentioning

confidence: 99%

“…Many studies have compared, on different scales, the performance between observed and estimated surface rainfall [3][4][5][6][7][8][9][10][11][12][13][14]. The results show that using different space scales and timescales and indicators it is possible to evaluate whether the efficiency of satellite data varies with the evaluation method, time window and location [2,10,12,13].…”

Section: Introductionmentioning

confidence: 99%

Diurnal Cycle of Convection over Lake Titicaca Basin Based on the Satellite Data from the Climate Prediction Center Morphing (CMORPH)

E¹,

Aj²

2020

Preprint

View full text Add to dashboard Cite

This paper examines the diurnal cycle of convection (DCC) over Lake Titicaca Basin (LTb) during summertime months based on the high spatial resolution (8 x 8 km2) and hourly temporal resolution, estimates of Climate Prediction Center Morphing technique (CMORPH). Analysis was performed using observed data from rain gauges (Rg-SENAMHI) for the period 2002 to 2013. Graphical comparisons and several statistical metrics such as correlation coefficient, bias, and root mean square error were used to evaluate CMORPH product. Spatial maps and graphic metrics of diurnal cycle were developed to assess CMORPH data, spatial dependency an accuracy over the LTb. Approximately, 43% of the total Rg-SENAMHI variation is explained CMORPH data. The correlation between Rg-SENAMHI and CMORPH is positively over southeast and northern LTb, and negatively in the central and southern LTb. A underestimation bias is observed over most the LTb areas and overestimation bias (e.g., Lagunillas, Isla Suana and Desaguadero stations). In general, spatial patterns of rainfall over the LTb were captured through CMORPH data. Over the surrounding lake area, high mountain, and plateau area, maximum peaks of precipitation occur in the early evening, neverhtheless over low areas such as the lake, surrounding and valleys, maximum precipitation values occur early morning. The results show that DCC its very related by surface exchange processes and local circulation resulting from solar radiation and heterogeneous topography.

show abstract

Consistency of satellite-based precipitation products in space and over time compared with gauge observations and snow- hydrological modelling in the Lake Titicaca region

Cited by 76 publications

References 94 publications

Mapping Evapotranspiration, Vegetation and Precipitation Trends in the Catchment of the Shrinking Lake Poopó

Mapping Evapotranspiration, Vegetation and Precipitation Trends in the Catchment of the Shrinking Lake Poopó

Mapping long-term evapotranspiration losses in the catchment of the shrinking Lake Poopó

Diurnal Cycle of Convection over Lake Titicaca Basin Based on the Satellite Data from the Climate Prediction Center Morphing (CMORPH)

Contact Info

Product

Resources

About