Sentences with phrase «model global rainfall»
Farmers rely on Nesbitt and his colleagues» work to measure and model global rainfall to decide how to plant and water their crops.
http://www.businessinsider.com/ Not exact matches
Previous research has suggested a connection between coal - burning and the Sahel drought, but this was the first study that used decades of historical observations to find that this drought was part of a global shift in tropical rainfall, and then used multiple climate models to determine why.
When researchers ran the numbers for the Corn Belt, the global models fell short of reality: They predicted both temperature and humidity to increase slightly, and rainfall to increase by up to 4 % — none of which matches the observed changes.
Using multiple climate models and hundreds of terabytes of data, NASA has projected global temperatures and rainfall around the world from 2050 until 2100.
There are more than a dozen widely used global climate models today, and despite the fact that they are constantly being upgraded, they have already proved successful in predicting seasonal rainfall averages and tracking temperature changes.
Over the past 34 years, rainfall in Uganda has decreased by about 12 percent even though many of the global climate models predict an increase in rainfall for the area, according to an international team of researchers.
Global climate models find that rainfall in northeast Brazil is expected to decrease in the coming decades, and some rivers could see flows reduced by 60 to 70 percent, he said.
The models showed a general increase in extreme rainfall but the global warming signal was not strong enough yet to rise above the expected natural variation.
Overeem's technique «has the potential to give good quantitative rainfall estimates for real - time hazards forecasting, as well as regional and global climate model analysis in regions of the world where the impact could be great,» Baeck says.
Since trends in convective rainfall are not easily detected in daily rainfall records, or well - simulated by global or regional climate models, the researchers created a new tool to assess the effects of climate change on rainfall patterns and trends in dryland areas.
Taking into account all 20 models, the spread of results reduces when the scientists looked at the rainfall changes per degree of global warming independent of the exact time path of the warming.
Most of the focus has been on the global mean temperature trend in the models and observations (it would certainly be worthwhile to look at some more subtle metrics — rainfall, latitudinal temperature gradients, Hadley circulation etc. but that's beyond the scope of this post).
1) it is the first time a global model that, while more expensive than conventional GCMs, is affordable for climate projection has been shown to contain the essential mechanism known to deliver most of the summertime mid-continent US rainfall, and
Most of the focus has been on the global mean temperature trend in the models and observations (it would certainly be worthwhile to look at some more subtle metrics — rainfall, latitudinal temperature gradients, Hadley circulation etc. but that's beyond the scope of this post).
Member of the team Alena Kimbrough says, «We've shown ENSO is an important part of the climate system that has influenced global temperatures and rainfall over the past millennium... Our findings, together with climate model simulations, highlight the likelihood that century - scale variations in tropical Pacific climate modes can significantly modulate radiatively forced shifts in global temperature.»
Since 1970 we have seen exactly what global warming models predict — more rainfall in the North - West and some desert areas and less in the major agricultural regions.
States that climate models mostly continue to predict future decreases in global TC numbers, projected increases in the intensities of the strongest storms and increased rainfall rates
The temperature and moisture from the CO2 gas increases are programmed in the GCM models to artificially increase the globe's upper - tropospheric moisture with increased global temperature and rainfall.
Instead, his study models the statistical likelihood of Harvey - level rainfall based on a linear projection of how storms could change under a scenario with massive amounts of global warming.
The effect of large - scale model time step and multiscale coupling frequency on cloud climatology, vertical structure, and rainfall extremes in a superparameterized global climate model.
When researchers ran the numbers for the Corn Belt, the global models fell short of reality: They predicted both temperature and humidity to increase slightly, and rainfall to increase by up to 4 % — none of which matches the observed changes.
«The CCR - II report correctly explains that most of the reports on global warming and its impacts on sea - level rise, ice melts, glacial retreats, impact on crop production, extreme weather events, rainfall changes, etc. have not properly considered factors such as physical impacts of human activities, natural variability in climate, lopsided models used in the prediction of production estimates, etc..
The research will be directed toward using a combined observational and modeling approach to investigate the nature and cause of the Congo rainfall variability in the 20st century, with an emphasis on the role of global sea surface temperatures.
These results suggest that both global and regional climate models may fail to translate projected circulation changes into their likely rainfall impacts in southeast Australia.
The new study said that almost all of 19 global climate models underestimated rainfall in the world's biggest tropical forest after the scientists compared the models with observations of 20th century climate.
«Absrtact: Wentz et al. (Reports, 13 July 2007, p. 233) present a satellite estimate of global - mean rainfall that increases with global warming faster than predicted by climate models.
Scaling the results from both theory as well as climate model projections suggest, then, that roughly 3 % of hurricane rainfall today can be reasonably attributed to manmade global warming.
Overall, global rainfall is reduced by about five percent on average in all four models studied.
The authors drew on results from global climate models and then created projections for variables like rainfall and temperatures for seven regions across the state.
The global model simulated rainfall too frequently, so that its surface temperatures were not appropriately sensitive to interannual changes in Pacific sea surface temperatures.
By using an idealized heating to force a comprehensive atmospheric model, the large negative anomalous latent heating associated with the observed deficit in central tropical Pacific rainfall is shown to be mainly responsible for the global quasi-stationary waves in the upper troposphere.
The global climate models used by the Intergovernmental Panel on Climate Change were never intended to provide rainfall trend projections for every region.
One of the points on which Prof Curry and Dr. Schmidt agree is that attribution requires a comparison of the actual data (global mean temp, global mean rainfall, etc) to a model of what would have happened absent human alteration of the Earth surface and atmosphere.
* «UK rainfall shows large year to year variability, making trends hard to detect» * «While connections can be made between climate change and dry seasons in some parts of the world, there is currently no clear evidence of such a link to recent dry periods in the UK» * «The attribution of these changes to anthropogenic global warming requires climate models of sufficient resolution to capture storms and their associated rainfall.»
Models generally aren't very good at simulating changes in rainfall patterns to increasing GHG and resulting global warming.
When done so, proxy records and climate models indicate that the response to past global warming was profound, with evidence for global reorganisation of the hydrological cycle and profound local increases and decreases in rainfall; combined with elevated temperatures and terrestrial vegetation change, this appears to often result in warming - enhanced soil organic matter oxidation, chemical weathering and nutrient cycling.
Using existing output data from global climate models, the researchers plotted projections of changes in global average temperature and rainfall against regional changes in daily extremes.