Sentences with phrase «uses precipitation data»

Using precipitation data from the University of East Anglia and ocean temperatures from the Hadley Centre combined with climate models, the researchers were able to add or omit the oceanic temperatures and compare the two sets of results.

Not exact matches

The team uses 30 years of historical precipitation and temperature data — from 1961 to 1990 — as well as eight different scenarios to project future climate changes from 2031 to 2060.

They used these location data to define each species» ecological niche based on four conditions: temperature, precipitation, elevation, and vegetation.

They also used satellite precipitation data to «backsolve» the brine's origins using sodium concentrations, oxygen and hydrogen isotopes, as the isotopic composition of water reflects the condensation temperature and precipitation rate over time.

They just have precipitation measurements at the airport, which you can't really use for snow data,» he said.

They used remote sensing data for precipitation, radiation, and temperature to represent the atmosphere.

The study establishes a method for estimating UHI intensities using PRISM — Parameter - elevation Relationships on Independent Slopes Model — climate data, an analytical model that creates gridded estimates by incorporating climatic variables (temperature and precipitation), expert knowledge of climatic events (rain shadows, temperature inversions and coastal regimes) and digital elevation.

The researchers developed a novel approach to the issue by using climate data from the IPCC and directly modeling all of the components that cause flooding at the coast including, waves, tides, winds blowing over the surface of the ocean and estuaries, precipitation, and stream flow.

Using U.S. Weather Service data on precipitation, radiosonde measurements of CAPE and lightning - strike counts from the National Lightning Detection Network at the University of Albany, State University of New York (UAlbany), they concluded that 77 percent of the variations in lightning strikes could be predicted from knowing just these two parameters.

To check that result, they extended their analysis back to 1980, using data from the Global Precipitation Climatology Project for the earlier years.

They also used data on precipitation in Colombia from the Intergovernmental Panel on Climate Change (IPCC) to model changes under different temperature and precipitation scenarios.

To do so, Ichoku and his colleagues used satellite records from 2001 to 2014 — including data from NASA's Moderate Resolution Imaging Spectroradiometer and the Tropical Rainfall Measurement Mission — to analyze the impact of fires on various water cycle indicators, namely soil moisture, precipitation, evapotranspiration and vegetation greenness.

Earth Science Airborne Tropical Tropopause Experiment AirMOSS Aqua Aura Aquarius CALIPSO CARVE Center for Earth and Climate Science Education CloudSat DISCOVER - AQ Earth to Sky - Building Climate Literacy for Informal Educators: Expanding the Earth to Sky Partnership (EPOESS NNH09CF00C) Girl Scouts Earth Science Patch Global Precipitation Measurement (GPM) The GLOBE Program GLOBE at Langley GRACE ICESat - 2 Landsat Data Continuity Mission (LDCM) MY NASA DATA NASA Climate Day / Earth Ambassadors NASA Know Your Earth Campaign NOVA Labs Ocean Surface Topography Orbiting Carbon Observatory (OCO)-2 SAGE III on ISS S'COOL: Student Cloud Observations On - Line SMAP Solar Radiation and Climate Experiment (SORCE) Teaching Inquiry using NASA Earth System Science (TINES) Terra

Horinouchi, T., 2002: Mesoscale variability of tropical precipitation: Validation of satellite estimates of wave forcing using TOGA COARE radar data.

This 3 - D simulated Flyby was created using Tropical Rainfall Measuring Mission Precipitation Radar data from 1:25 p.m. on Sunday, Oct. 28, 2012.

After consideration of a range of elements of the water - energy dynamic (Hawkins et al., 2003), we made use of quarterly climatic data of 1961 - 90, mean annual precipitation and mean temperature (New et al., 1999).

I'm always a bit amused at those who promote AGW, and the media who support them, continue to use emotive, evocative words in their descriptions of mathematic statistical functions of temperatures and / or precipitation data sets.

The NWS has uses software for analysis of inconsistencies in data due to changes in station locations, vegetation and other characteristics that influence temperature and precipitation readings.

It was chosen to use the local monthly temperature tendency as a scaling factor for the temperature from the runs forced with the Hadley Centre data, while precipitation rate and wind force are kept unscaled.

To estimate robustly where the maximum is, you can calculate an expected value of the latitude using a high power of the precipitation distribution as the weighting function; gives the maximum, but gives a robust estimate in practice, which smooths over the discretization of the data.

If observations of precipitation are available, you'll want to use those, at the least, in a comparison with the reanalysis data.

Dr Vladimir Djurdjevic, from the South East European Virtual Climate Change Center (SEEVCCC, Serbia), presented the main activities and products developed by the SEEVCCC, which include the development of a Climate Monitoring Node with monthly and daily data used to prepare monthly analyses of precipitation and temperature anomalies of the previous months, a climate monitoring specific for the region.

The NARR model uses the very high resolution NCEP Eta Model (32km / 45 layer) together with the Regional Data Assimilation System (RDAS) which, significantly, assimilates precipitation along with other variables.

What «CFSR precipitation data» are you using?

In order to understand California's precipitation patterns and the influence of El Niño better, Bor - Ting Jong from the Lamont - Doherty Earth Observatory at Columbia University and her colleagues used sea surface temperature and weather data from as far back as 1901.

We calculated mean winter precipitation across 15 -, 25 -, and 35 - year periods from this modeled data and used this information to select droughts and pluvials.

In his talk, he discussed how to catalogue the occurance of extreme precipitation across British Columbia, using a new comprehensive data set from Environment Canada, in order to create a climatological baseline.

The researchers used recent historical data and not climate modeling, so the study does not make any future predictions, but Swain says the findings appear to be consistent with other climate research that reveals there is little change in average precipitation, but an increase in the amount of very wet or very dry periods.

Using data collected by Environment Canada, several BC ministries, RioTinto Alcan, and BC Hydro, PCIC scientists have recently constructed monthly maps for departures in precipitation and temperature observations at weather stations throughout BC, for the period of 1972 to the present.

Daily mean NCEP / NCAR reanalysis data are used as atmospheric forcing, i.e., 10 - m surface winds, 2 - m surface air temperature (SAT), specific humidity, precipitation, evaporation, downwelling longwave radiation, sea level pressure, and cloud fraction.

Also used are version 15.0 of the 0.25 ° resolution E-OBS dataset for Europe (available up to December 2016), the 2.5 ° resolution Global Precipitation Climatology Project (GPCP) dataset as was available up to March 2017 (with interim data from September 2016) when downloaded in May 2017, and the 0.25 ° resolution NASA TMPA / 3B43 dataset for the 50 ° N to 50 ° S band that covered from 1998 to December 2016 when downloaded.

Precipitation and soil moisture are both presented using two different data records that are complementary in terms of spatial coverage and spatial resolution.

Students then create salinity and precipitation plots using data from the MY NASA DATA Live Access Server.

All of these characteristics (except for the ocean temperature) have been used in SAR and TAR IPCC (Houghton et al. 1996; 2001) reports for model - data inter-comparison: we considered as tolerable the following intervals for the annual means of the following climate characteristics which encompass corresponding empirical estimates: global SAT 13.1 — 14.1 °C (Jones et al. 1999); area of sea ice in the Northern Hemisphere 6 — 14 mil km2 and in the Southern Hemisphere 6 — 18 mil km2 (Cavalieri et al. 2003); total precipitation rate 2.45 — 3.05 mm / day (Legates 1995); maximum Atlantic northward heat transport 0.5 — 1.5 PW (Ganachaud and Wunsch 2003); maximum of North Atlantic meridional overturning stream function 15 — 25 Sv (Talley et al. 2003), volume averaged ocean temperature 3 — 5 °C (Levitus 1982).

A week after the event the climateprediction.net team, together with the World Weather Attribution team, provided an initial assessment of the influence of anthropogenic climate change on the likelihood of one - day precipitation events averaged over an area encompassing northern England and southern Scotland using data and methods available immediately after the event occurred.

To reach their conclusions, the researchers analyzed nearly 30 years of observational temperature and precipitation data and also used computer model simulations that considered soil, atmospheric, and oceanic conditions and projected changes in greenhouse gases.

Precipitation climatologies were improved using data from snow observing networks in British Columbia and the United States.

Correlation (color) and regression maps (contour) of SST (left) and SLP (right) associated with the first EOF modes of annual precipitation (a, b), low - frequency precipitation (c, d), and total water storage (e, f), which are calculated using annual mean data for the first EOF mode of annual precipitation, 10 - year running mean for precipitation, and 10 - year running mean leading with 5 - year for total water storage.

Correlation coefficients are calculated using annual mean data for the first EOF mode of annual precipitation, 10 - year running mean data for the low - frequency precipitation, and 10 - year running mean data leading with 5 - year for the total water storage.

In the first part, the RCMs were driven using observation - based data products and their output was compared to observational data, in order to determine how well the RCMs could represent temperature and precipitation, both annually and seasonally.

Using U.S. Weather Service data on precipitation, radiosonde measurements of CAPE and lightning - strike counts from the National Lightning Detection Network at the University of Albany, State University of New York (UAlbany), they concluded that 77 percent of the variations in lightning strikes could be predicted from knowing just these two parameters.

PCIC's PRISM climatologies use observations of temperature and precipitation from thousands of stations in BC and integrate other sources of information, including digital elevation data, snow data, upper atmosphere climatologies, glacier inventories, and local and expert knowledge in order create a climatology of the province at a scale of 800 metres, for the period of 1971 — 2000.

Trenberth K. E., Y. Zhang and M. Gehne (May 2017): Intermittency in Precipitation: Duration, Frequency, Intensity, and Amounts Using Hourly Data.

The same should be true for climate change we should evaluate the changes in temperature (not anomalies) over time at the same stations and present the data as a spaghetti graph showing any differing trends and not assume that regional or climates in gridded areas are the same — which they are not as is obvious from the climate zones that exist or microclimates due to changes in precipitation, land use etc..

Stomata data are local CO2 proxies, subject to local changes in growth, precipitation, fertilisation and land use changes, including traffic and industrialisation, in the main wind direction.

It uses satellite data from MODIS vegetation indices (MOD13Q1 and NDVI) and products related to presence of water bodies (MOD35) as well as Tropical Rainfall Measuring Mission (TRMM) precipitation data to detect anthropogenic changes in vegetation cover every 16 days.

In addition to the data from the radiometers, the Berkeley Lab scientists will get supplemental data by taking advantage of a separate, in - depth DOE climate study at the same location, which is using additional instruments and a balloon - borne sounding system to get information on temperature, cloud cover, the density and types of aerosols or pollution particles, heat fluxes and other climate variables like precipitation.

A paper in the journal Water Resources Research makes just this point using over 200 years of precipitation data: