This study quantifies current and potential future changes in transpiration, evaporation, interception loss and river discharge in response to land use change, irrigation and climate change, by performing several distinct simulations within the consistent hydrology and biosphere modeling framework LPJmL (Lund-Potsdam-Jena managed Land). We distinguished two irrigation simulations: a water limit...

Precipitation data are important for the fields of hydrology and meteorology, and are fundamental for ecosystem monitoring and climate change research. Satellite-based precipitation products are already able to provide high temporal resolution precipitation information at a global level. However, the coarse spatial resolution has restricted their use in regional level studies. In this study, mo...

Plant rooting depth affects ecosystem resilience to environmental stress such as drought. Deep roots connect deep soil/groundwater to the atmosphere, thus influencing the hydrologic cycle and climate. Deep roots enhance bedrock weathering, thus regulating the long-term carbon cycle. However, we know little about how deep roots go and why. Here, we present a global synthesis of 2,200 root observ...

Monthly composite data from the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite sensor was used to reconstruct vegetation dynamics in response to climate patterns over the period 2001–05 for North America. Results imply that plant growth over extensive land areas were closely coupled to El Niño–Southern Oscillation (ENSO) effects on regional climate. Areas strongly tied to recen...

introduction today, with the increasing population and the need for strategic and industrial crops the farmers are simulated to grow these kinds of crops. thus, this subject has now been caused the inappropriate use of land and natural resources. on the other hand, the natural environment resources have limited the ability to use its resources and the climate change intensifies this limit abili...

In one of the data mining techniques, change-point detection is of importance in evaluating time series measured in real world. For decades this technique has been developed as a nonlinear dynamics. We apply the method for detecting the change points, Singular Spectrum Transformation (SST), to the climate time series. To know where the structures of climate data sets change can reveal a climate...

Substantial amounts of nutrients are lost from soils through leaching. These losses can be environmentally damaging, causing groundwater eutrophication and also comprise an economic burden in terms of lost agricultural production. More intense precipitation events caused by climate change will likely aggravate this problem. So far it is unresolved to which extent soil biota can make ecosystems ...

Long-term (20 yr) river discharge records from 30 of the world’s largest river basins have been used to characterize surface hydrologic flows in relation to net precipitation inputs, ocean climate teleconnections, and human land/water use patterns. This groundwork study is presented as a precedent to distributed simulation modeling of surface hydrologic flows in large river basins. Correlation ...

A technique called extended mosaic (EM) was designed to allow the subgrid scale interactions between the land surface and the atmosphere to extend vertically. EM addresses a limitation of previously existing techniques, and has been shown to have an important impact on the simulated climate in global models. The present work focuses on an observational validation of the climate characteristics ...

[1] Satellite gravity measurements from the Gravity Recovery and Climate Experiment (GRACE) provide new quantitative measures of the 2005 extreme drought event in the Amazon river basin, regarded as the worst in over a century. GRACE measures a significant decrease in terrestrial water storage (TWS) in the central Amazon basin in the summer of 2005, relative to the average of the 5 other summer...