Sentences with phrase «precipitation forecast for»

A beautiful app built with the idea of giving you the rain probability at a glance, Raincast makes it quick and easy to stay up to date on the latest precipitation forecast for your current location.

NOAA's precipitation forecast for the next five days puts over five inches of rain on a very large stretch of real estate from the Mid-Atlantic up to northern Maine:

The verification of seasonal precipitation forecasts for early warning in Zambia and Malawi.

Not exact matches

As you can see from this helpful AccuWeather radar forecast for the greater Chicago area, a fair bit of precipitation is currently heading toward Wrigley Field.

Weather forecast models, for example, include dozens of parameters from temperature and precipitation to wind speed and lightning.

The forecast will include details like temperature, precipitation, humidity and wind speed for the place from where the search has been initiated or for a different location if the relevant name or zip code is included in the search.

And while that might make sense for the current situation, it is much harder to understand for forecasts one week out (where the chance of precipitation might change from 80 % to 40 % to 20 % to 60 % in a one - hour span for a period six days in the future).

The models are gauged against the following observation - based datasets: Climate Prediction Center Merged Analysis of Precipitation (CMAP; Xie and Arkin, 1997) for precipitation (1980 — 1999), European Centre for Medium Range Weather Forecasts 40 - year reanalysis (ERA40; Uppala et al., 2005) for sea level pressure (1980 — 1999) and Climatic Research Unit (CRU; Jones et al., 1999) for surface temperature (1961 &Precipitation (CMAP; Xie and Arkin, 1997) for precipitation (1980 — 1999), European Centre for Medium Range Weather Forecasts 40 - year reanalysis (ERA40; Uppala et al., 2005) for sea level pressure (1980 — 1999) and Climatic Research Unit (CRU; Jones et al., 1999) for surface temperature (1961 &precipitation (1980 — 1999), European Centre for Medium Range Weather Forecasts 40 - year reanalysis (ERA40; Uppala et al., 2005) for sea level pressure (1980 — 1999) and Climatic Research Unit (CRU; Jones et al., 1999) for surface temperature (1961 — 1990).

To solve this problem I looked at three patterns of the 6558 day period, overlaid them at the daily weather data level, and plotted the resultant combined signal for Precipitation, and temperature patterns for the USA, extended that cyclic interpenetration for a six year period, and plotted out maps to show the repeating reoccurring patterns in the global circulation, as a (6 year long stretch, we are now ~ 40 months into the posted 6 years long) forecast for part of the current repeat of the 6558 day long cycle.

They struggle to capture regional detail and precipitation; none can successfully forecast the eminently predictable daily rainfall in the Amazon, for instance.

eCast's web - based interface allows easy access to meaningful forecast ranges, timescales and visualizations for maximum and minimum temperatures, as well as the probability of precipitation, over the next 10 - days.

There are no mean rate precipitation fields - the precipitation fields are accumulated from the beginning of the forecast for + step hours.

More accurate and reliable precipitation data would be invaluable, not only for the study of climate trends and variability, but also as inputs to hydrological and ecological models and for model validation, characterization of extreme events, and flood and drought forecasting.

This justifies, for example, the so - called ensemble forecasting in precipitation and flood prediction.

forecast lead - time at which the continuous ranked probability skill score (CRPSS) for ENS probabilistic forecasts of 24 - hour total precipitation reaches 10 % for the extra-tropics (northern and southern hemispheres); verification against station observations

The weather service's long - term forecast calls for normal temperatures and precipitation through the rest of the winter — except, possibly, in western Alaska.

CAS = Commission for Atmospheric Sciences CMDP = Climate Metrics and Diagnostic Panel CMIP = Coupled Model Intercomparison Project DAOS = Working Group on Data Assimilation and Observing Systems GASS = Global Atmospheric System Studies panel GEWEX = Global Energy and Water Cycle Experiment GLASS = Global Land - Atmosphere System Studies panel GOV = Global Ocean Data Assimilation Experiment (GODAE) Ocean View JWGFVR = Joint Working Group on Forecast Verification Research MJO - TF = Madden - Julian Oscillation Task Force PDEF = Working Group on Predictability, Dynamics and Ensemble Forecasting PPP = Polar Prediction Project QPF = Quantitative precipitation forecast S2S = Subseasonal to Seasonal Prediction Project SPARC = Stratospheric Processes and their Role in Climate TC = Tropical cyclone WCRP = World Climate Research Programme WCRP Grand Science Challenges • Climate Extremes • Clouds, Circulation and Climate Sensitivity • Melting Ice and Global Consequences • Regional Sea - Ice Change and Coastal Impacts • Water Availability WCRP JSC = Joint Scientific Committee WGCM = Working Group on Coupled Modelling WGSIP = Working Group on Subseasonal to Interdecadal Prediction WWRP = World Weather Research Programme YOPP = Year of Polar Prediction

Here's an example showing how more torrential precipitation events are in the forecast for southeastern states like Louisiana, Arkansas, Mississippi, and Alabama.

The latest dynamical model forecasts are calling for well above average precipitation throughout California during the January - March period, and the recent forecasts from the CFS model have shifted towards a wet December as well.

Here are some examples: # 1) «A Parallel Nonnegative Tensor Factorization Algorithm for Mining Global Climate Data» http://www.springerlink.com/content/u4x12132j06r40h3/ (from LNCS - Lecture Notes in Computer Science) # 2) «Dowinscaling of precipitation for climate change scenarios: A support vector machine approach» http://eprints.iisc.ernet.in/18799/ (Journal Of Hydrology) # 3) «Semi-supervised learning with data calibration for long - term time series forecasting» http://portal.acm.org/citation.cfm?id=1401911 (Knowledge Discovery and Data Mining Journal) There are tons that I can quoted, but the 3 references that I have linked to above clarifies my point.

Well, speaking only of Queensland, Chapter 11 of AR4 WG1, Regional Climate Projections, was very careful to make no specific projections for Australia and Queensland until 2080 - 2099 -LRB-(fig. 11.17), by when only those under 30 now are likely to be alive to verify whether its actual prediction of NO FLOODS in the Western Pacific proved correct: ALL 21 of the models deployed to make that prediction actually forecast precipitation at LESS than the average in 1980 - 1999.

For precipitation, using forecast SSTs leads to an attribution statement of the same order of magnitude but quantitatively on the more conservative side.

Worse yet, the snow on the ground — by lowering air temperatures several degrees — increases the likelihood that precipitation from forthcoming storms, like the one forecast for Friday, will tend toward the frozen variety.

Model precipitation «forecasts» over the Central Sahel were correlated with observations for about three days, but reinitializing with observed data on day 5 resulted in a dramatic improvement in the precipitation validation over the remaining 9 days.

Using simulation models that account for the impact of increased atmospheric carbon dioxide concentrations on temperature and precipitation in the region, scientists at the Hadley Center for Climate Prediction and Research in the UK have forecast significant «die - back» of the Amazon rain forest by mid-century and a virtual collapse of the ecosystem by 2100.

The physical link between SST and precipitation for any individual hurricane is not controversial, it is routinely exploited in the hurricane forecast models used by the national hurricane center.

The NOAA precipitation forecast (scheduled weather) map below is for the same window of time as the NOAA map above.

These are just a few of the problems illustrated by the attempt to forecast precipitation for Africa.