Sentences with phrase «surface weather data»

It didn't take that many people to make it happen, either, since a very small cadre of suspects were in charge of the management of the surface weather data, namely, Professors Jones, Mann and Dr Hansen.

The joint C3S - NOAA project, which aims to cover all surface weather data collected on land from meteorological stations and on the oceans by ships and buoys, fits within the broader scope of a Copernicus cooperation agreement between the European Union and the United States established in October 2015.

There is simply insufficient surface weather data, and it is worse above the surface.

Not exact matches

The data may look promising on the surface, but given how good the weather was in June, Samuel Tombs, chief UK economist at Pantheon Macroeconomics argues it should have been stronger.

I also used surface observations and climatological data from Albany International Airport and a report from a local volunteer weather observer.

Plugging such weather data into a regional climate model revealed that the impacts were likely due to the increased mixing of the near - surface and higher - atmosphere air thanks to the wind turbines.

David W. J. Thompson of Colorado State University and Susan Solomon of the National Oceanic and Atmospheric Administration examined 30 years of climate data collected from surface stations and from weather balloons launched from sites around Antarctica.

Examining the fresh crater could provide data on how space weathering affects Mercury's heavily pockmarked surface — but this crater is too small to see from Earth, and the Hubble Space Telescope can't look at Mercury because it would have to point at the sun.

For their paper, published in Applied Geography, researchers at the Earth Institute at Columbia University and Battelle Memorial Institute studied air temperature data from weather stations, land surface temperatures measured by satellites and socioeconomic data.

In addition to the surface data described above, measurements of temperature above the surface have been made with weather balloons, with reasonable coverage over land since 1958, and from satellite data since 1979.

My main problem with that study is that the weather models don't use any forcings at all — no changes in ozone, CO2, volcanos, aerosols, solar etc. — and so while some of the effects of the forcings might be captured (since the weather models assimilate satellite data etc.), there is no reason to think that they get all of the signal — particularly for near surface effects (tropospheric ozone for instance).

This involves a combination of satellite observations (when different satellites captured temperatures in both morning and evening), the use of climate models to estimate how temperatures change in the atmosphere over the course of the day, and using reanalysis data that incorporates readings from surface observations, weather balloons and other instruments.

This data is used in conjunction with ultrasonic sensors, a forward - facing camera and forward radar to build up a clear picture of the road ahead, traffic conditions, surfaces and movement in all weathers and all levels of visibility.

At face value, the satellite data is supported by weather balloon data, covers a much larger area of the globe than the surface - based data, and, as you pointed out, is free from the urban heat island effect and other potential flaws of surface measurements.

The two longest ones are of temperature near the Earth's surface: a vast network of weather stations over land areas, and ship data from the oceans.

(1) In addition to the data of the near - surface temperatures, which are composed of measurements from weather stations and sea surface temperatures, there is also the microwave data from satellites, which can be used to estimate air temperatures in the troposphere in a few kilometers altitude.

None of these reanalyses directly use the surface temperature data so their returned surface estimate is a combination of a state of the art data assimilation scheme and much of the rest of the surface observing system (satellites, weather balloons, surface pressure, sea surface temperatures, etc.).

Both the Microwave Sounding Unit (MSU) satellite (analyzed by the University of Alabama in Huntsville by John Christy and Roy Spencer) and weather balloon data (trends reported by a number of researchers, notably Jim Angell at NOAA) have failed to show significant warming since the satellite record began in late 1978, even though the surface record has been rising at its fastest pace (~ 0.15 C / decade) since instrumental records began.

To conduct its analysis, GISS uses publicly available data from three sources: weather data from more than a thousand meteorological stations around the world; satellite observations of sea surface temperature; and Antarctic research station measurements.

There are no weather stations for at least 70 % of the surface and virtually no data above the surface.

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.

The temperature analysis produced at GISS is compiled from weather data from more than 1,000 meteorological stations around the world, satellite observations of sea - surface temperature, and Antarctic research station measurements.

These include the primary surface temperature thermometer records (NASA GISS, NOAA, and HadCRUT); satellite measurements of the lower troposphere temperature processed by Remote Sensing Systems (RSS) and the University of Alabama - Huntsville (UAH); and 5 major reanalysis datasets which incorporate station data, aircraft data, satellite data, radiosonde data, buoy and ship measurements, and meteorological weather modeling.

Policy anticipated that satellite data would replace the need for surface weather stations.

Meanwhile, global surface temperatures have been relatively flat over the past decade and a half, according to data from the U.K.'s weather - watching Met Office.

But unlike the land surface, the atmosphere has shown no warming trend, either over land or over ocean — according to satellites and independent data from weather balloons.

The temperature analysis produced at GISS is compiled from weather data from more than 1,000 meteorological stations around the world, satellite observations of sea surface temperature and Antarctic research station measurements.

See, the first thing to do is do determine what the temperature trend during the recent thermometer period (1850 — 2011) actually is, and what patterns or trends represent «data» in those trends (what the earth's temperature / climate really was during this period), and what represents random «noise» (day - to - day, year - to - random changes in the «weather» that do NOT represent «climate change»), and what represents experimental error in the plots (UHI increases in the temperatures, thermometer loss and loss of USSR data, «metadata» «M» (minus) records getting skipped that inflate winter temperatures, differences in sea records from different measuring techniques, sea records vice land records, extrapolated land records over hundreds of km, surface temperature errors from lousy stations and lousy maintenance of surface records and stations, false and malicious time - of - observation bias changes in the information.)

For example, in snow events or heavy rain events, having access to high density surface data will give extra confidence in the extent and development of such events, helping provide rapid updated guidance on the evolution of such weather situations.

Satellite observations do not provide water vapor data in all weather conditions above all surfaces.

In order to test a possible CR - cloud connection, Sun & Bradley (2002) made use of long - term surface - based cloud data over land from national weather services at regional scales, and over ocean from observing ships over an approximately 50 year period from the datasets of Groisman et al. (2000) and Hahn & Warren (1999).

The combined all - weather canopy surface temperature provided by passive microwave sensor, such as AMSR - E and hyperspectral data are also important for monitoring plants water stress for early warning.

How oceanic and atmospheric circulation patterns translate into things that matter directly to society (e.g. surface climate and weather) requires longer data sets that allows us to understand how the major multidecadal modes translate into atmospheric circulation patterns and surface climate.

Neither is BEST a review of the hockey stick data, just the earth surface temps according to weather station sighting, rather than proxies, and yet the BBC have claimed that this non-peer review grey literature (as it is at this time) is conclusive proof of ALL AGW alarmist claims.

Identify weather - related patterns in data for ocean surface currents, temperature and winds with special attention given to El Nino.

In contrast to surface data, these satellite data cover the whole Earth, are fully disclosed, and are not contaminated by poor maintenance and location of weather stations, changes from mercury to electronic measurement, and unexplained adjustments.

«[U] nlike the land surface, the atmosphere has shown no warming trend, either over land or over ocean — according to satellites and independent data from weather balloons.»

The collection, organization, analysis, interpretation and presentation of data (http://en.wikipedia.org/wiki/Statistics) from the atmosphere, ocean, land surface and cryosphere does neither represents: weather or climate.

We blended surface meteorological observations, remotely sensed (TRMM and NDVI) data, physiographic indices, and regression techniques to produce gridded maps of annual mean precipitation and temperature, as well as parameters for site - specific, daily weather generation for any location in Yemen.

For the «2013 as observed» experiment, the atmospheric model uses observed sea surface temperature data from December 2012 to November 2013 from the Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) dataset (Stark et al. 2007; Donlon et al. 2012) and present day atmospheric gas concentrations to simulate weather events that are possible given the observed climate condsurface temperature data from December 2012 to November 2013 from the Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) dataset (Stark et al. 2007; Donlon et al. 2012) and present day atmospheric gas concentrations to simulate weather events that are possible given the observed climate condSurface Temperature and Sea Ice Analysis (OSTIA) dataset (Stark et al. 2007; Donlon et al. 2012) and present day atmospheric gas concentrations to simulate weather events that are possible given the observed climate conditions.

The ONLY way to predict weather and climate changes is to have millions upon millions of data collecting bots in the air, on the surface, in the sea and also in space, that are all networked together and sending petabytes of data to extremely powerful networked servers to crunch through that data in real time to make predictions.

Because the satellite data measure an average temperature through a depth of several kilometres in the atmosphere, they would be expected to compare better with upper - air measurements taken using weather balloons and radiosondes than they would with measurements at the surface.

Data travels from the deep ocean via copper cables to the glacier surface, passes through a weather station, jumps the first satellite overhead, hops from satellite to satellite, falls back to earth hitting an antenna in my garden, and fills an old computer.

Specifically, they have included the data from the International Surface Temperature Initiative database, which more than doubles the number of weather stations available for the analysis.

But the challenge is then shifted to how to calculate the delta changes, and then use them to create a new scenario of surface forcing that captures the spatio - temporal weather variability that is desired from a daily forcing data set.

Climateaudit has focused on auditing topics related to the paleoclimate reconstructions over the past millennia (in particular the so called «hockey stick») and also the software being used by climate researchers to fix data problems due to poor quality surface weather stations in the historical climate data record.