This fact sheet focuses on climate variability and change and how USGS research can strengthen the Nation with information needed to meet the challenges of the 21st century.
The relation between seasonal forest change and weather is being tracked and analyzed by comparing precise field observations to regional patterns shown in long-term satellite imagery.
Coordinates our efforts to address challenges resulting from climate change and to empower natural resource managers with rigorous scientific information and effective tools for decision-making.
Mathematical models predict overall streamflow, runoff, subsurface flow, groundwater flow, and soil moisture in this area in response to four different greenhouse gas emission scenarios.
Mathematical models predict overall streamflow, runoff, subsurface flow, groundwater flow, and soil moisture in this area in response to four different greenhouse gas emission scenarios.
Mathematical models predict overall streamflow, runoff, subsurface flow, groundwater flow, and soil moisture in this area in response to four different greenhouse gas emission scenarios.
Mathematical models predict overall streamflow, runoff, subsurface flow, groundwater flow, and soil moisture in this area in response to four different greenhouse gas emission scenarios.
Mathematical models predict overall streamflow, runoff, subsurface flow, groundwater flow, and soil moisture in this area in response to four different greenhouse gas emission scenarios.
Mathematical models predict overall streamflow, runoff, subsurface flow, groundwater flow, and soil moisture in this area in response to four different greenhouse gas emission scenarios.
Mathematical models predict overall streamflow, runoff, subsurface flow, groundwater flow, and soil moisture in this area in response to four different greenhouse gas emission scenarios.
Mathematical models predict overall streamflow, runoff, subsurface flow, groundwater flow, and soil moisture in this area in response to four different greenhouse gas emission scenarios.
Mathematical models predict overall streamflow, runoff, subsurface flow, groundwater flow, and soil moisture in this area in response to four different greenhouse gas emission scenarios.
Mathematical models predict overall streamflow, runoff, subsurface flow, groundwater flow, and soil moisture in this area in response to four different greenhouse gas emission scenarios.
Mathematical models predict overall streamflow, runoff, subsurface flow, groundwater flow, and soil moisture in this area in response to four different greenhouse gas emission scenarios.
Mathematical models predict overall streamflow, runoff, subsurface flow, groundwater flow, and soil moisture in this area in response to four different greenhouse gas emission scenarios.
Mathematical models predict overall streamflow, runoff, subsurface flow, groundwater flow, and soil moisture in this area in response to four different greenhouse gas emission scenarios.
Summer rains have remained steady over the past 20 years, but are less than historic highs. Temperature has increased, and while the farmland per person is decreasing, population growth has been offset with improved yields.
Long-term reduction in rainfall and increasing temperature threaten Chad's future food production prospects; combined with rapid population growth and zones of substantial conflict, increasing numbers of people will be at risk.
Recent trends in March-June, June-September, and March-September rainfall and temperature, identifying significant reductions in rainfall and increases in temperature over time in this area.
Crop areas in west central Kenya are affected by decline in rainfall over several decades; the effects may be exacerbated by overall warming in the region