Global models projected that, precipitation in Great Plains of the United States will decrease in summer and increase in spring and winter. However, few studies had carefully examined ecosystem responses to this intra-annual redistribution of precipitation. Here we used a process-based model, Terrestrial ECOsystem (TECO) Model, to evaluate responses of ecosystem carbon processes (including net ...

abstract in this research, four meteorological set of data including maximum temperature, minimum temperature, precipitation and radiation from echo-g, under a1scenario have been used for climate change detection over south khorasan. echo-g is a general circulation model that currently is used in hamburg university and korea meteorological research institute. in this research climate change ass...

Understanding how the dynamics of vegetation growth respond to climate change at different temporal and spatial scales is critical to projecting future ecosystem dynamics and the adaptation of ecosystems to global change. In this study, we investigated vegetated growth dynamics (annual productivity, seasonality and the minimum amount of vegetated cover) in China and their relations with climati...

[1] Assessing the sensitivity of annual streamflow to precipitation is challenging due to the complexity of the processes that control the water balance. A low-dimensional model can be useful to interrogate data in regional assessments of a large number of catchments, and can provide insights into the broad similarities and differences between catchments’ behaviors. This work assesses the sensi...

Mean annual recharge in the Sand Hills of Nebraska (USA) over the 2000–2009 period was estimated at a 1-km spatial resolution as the difference of mean annual precipitation (P) and evapotranspiration (ET). Monthly P values came from the PRISM dataset, while monthly ET values were derived from linear transformations of the MODIS daytime land-surface temperature values into pixel ET rates with th...

Accounting for secondary exhaustive variables (such as elevation) in modelling the spatial distribution of precipitation can improve their estimate accuracy. However, elevation and data are associated with different support sizes it is necessary to define methods combine such data. The paper was aimed compare block ordinary cokriging kriging an external drift estimating annual using covariate. ...

Climate generator (CLIGEN) is widely used in the United States to generate long-term climate scenarios for use with agricultural systems models. Its applicability needs to be evaluated for use in a new region or climate. The objectives were to: (1) evaluate the reproducibility of the latest version of CLIGEN v5.22564 in generating daily, monthly, and yearly precipitation depths at 12 stations, ...

To mitigate the adverse effects of climate warming, Paris Agreement proposed goal to reduce global warming up an increase 1.5 °C above preindustrial level. Study population and GDP exposure precipitation extreme events under target is fundamental for disaster risk mitigation adaptation on Loess Plateau. This study projected level Plateau using daily data from CMIP6 outputs a Shared Socioeconomi...