Sentences with phrase «land data observations»

It is a state of the art long - range forecast system using ocean, atmosphere, ice and land data observations to initiate outlooks up to nine months ahead.

Not exact matches

The paper is one of six appearing in the journal that reports results from the analysis of data and observations obtained during Curiosity's exploration at Yellowknife Bay — an expanse of bare bedrock in Gale Crater about 500 meters from the rover's landing site.

The collection of larger than usual amounts of Arctic winter weather data in 2015 was due to two reasons: the Norwegian research vessel Lance was in the Arctic Ocean observing and collecting upper atmosphere meteorological data, and the frequency of observation and data collection was increased at some of the land - based observation stations around the Arctic.

Results showed that additional data collected that year through more frequent observation of meteorological conditions in the Arctic's upper atmosphere from both land - based research stations and the research vessel Lance plying winter Arctic waters improved the accuracy of cold wave forecasts.

Using JAMSTEC's supercomputer, the Earth Simulator, the research team recreated cold wave forecasts for two cases: 1) when there is more frequent observation and more data available than usual (as in 2015) and 2) a «normal» year with less data collection from land - based stations and no additional research resources available.

The meeting presentations will focus on synergies among various approaches and provide recommendations on how to improve the use of earth observations, ground data and modeling techniques for the improved understanding of land use sources and sinks.

Supplementing the acoustic data are visual sightings of orcas as they pass OrcaLab, and reports from land observation sites during the summer «season» as well as reports from other researchers and whale watchers who share observations and information.

SELECTED GROUP EXHIBITIONS 2017 Glut Data, ASC Chaplin Centre, London 2017 ESTELLE THOMPSON & ERNESTO CÁNOVAS: In Colours where we Meet, Ambachar Contemporary, Munich 2017 Pelé: Art Life Football, National Football Museum, Manchester 2017 Clouded Lands, Fundación Caja Burgos (CAB), Burgos, Spain 2016 Summer Exhibition, Halcyon Gallery, London 2016 Colectiva Monopatin 3, Museo de Arte de Puerto Rico (Part of the Puerto Rico Triennale 2016), Puerto Rico, USA 2016 Le Dessous des Recits, Galerie Gourvennec Ogor, Marseille, France 2016 Non-Profit Observations, Kir Royal, Valencia, Spain 2015 Pelé: Art, Life, Football, Halcyon Gallery, London 2015 The Art of Creating, Halcyon Gallery, London 2014 From Cocoanut Grove to Soho Nights, Paul Smith, London 2014 Summer Exhibition, Royal Academy, London 2014 Landshapes, Gallery Kir Royal Valencia, Spain 2014 Open Dialogues — Generation 14, Royal Academy, Edinburgh, Scotland 2013 Threadneedle Prize, Mall Galleries, London 2013 Summer Exhibition, Halcyon Gallery, London 2013 Essence of Things, Ambacher Contemporary, Munich, Germany 2012 Transfigurative, Pariothall Gallery, Edinburgh 2012 Choice White Space, McClure Art, Edinburgh 2012 (De) Constructions, Rollo Gallery, London 2012 The Open West Prize 2012 exhibition, Gloucester, UK 2011 New Sensations Prize 2011, Saatchi Gallery and Channel 4, Victoria House, London 2011 Bloomberg New Contemporaries, shortlisted, London — 2011 Slade Postgraduate Research 2011, Slade Research Centre, London 2011 Plan B, Two Windows Project, Berlin 2010 New Contemporaries, Royal Scottish Academy, Edinburgh 2010 Different Light Here, Le Garage Gallery, London 2010 Slade Interim Show, Slade Research Centre, University College London 2010 Fine Art exhibition, Candid Gallery, London 2010 Please Be There Tomorrow, Le Garage Gallery, London 2010 Boxers & Fighters, Two Windows Project, Berlin 2010 KunstVlaai / Art Pie, Westergasfabriek, Amsterdam

The compilation of a hemispheric or global land surface data time series from irregularly distributed (in time and space) historical thermometer observations can never be «correct» in an absolute sense.

I was thinking crudely of splitting the data into land and ocean observations and seeing whether the variances were more nearly equal over land.

While land surface observations go back hundreds of years in a few places, data of sufficient coverage for estimating global temperature have been available only since the end of the 19th century.

I did not say anywhere in this piece that the land data were free of problems, or that scientists thought they were, only that most have concluded they are in significantly better shape than the other observations.

Only an amateur with no concept of the material (Stokes) derivative and time - series aliasing would conclude that lack of serial observations, such as provided by land - station data, of diurnally varying temperature at fixed oceanic locations is «not a problem.»

According to Saha et al. (2010), for land - surface analysis, the model - generated precipitation is replaced by the a mix of observation - based (CMAP and CPCU) and model - generated precipitation as forcing data.

Cross Cutting Priority 1: (Integrated Global Environmental Observation and Data Management System) focuses on developing a global - to - local environmental observation and data management systems for the comprehensive, continuous monitoring of coupled ocean / atmospheric / land systems that enhance NOAA's ability to protect lives, property, expand economic opportunities, understand climate variability, and promote healthy ecosystData Management System) focuses on developing a global - to - local environmental observation and data management systems for the comprehensive, continuous monitoring of coupled ocean / atmospheric / land systems that enhance NOAA's ability to protect lives, property, expand economic opportunities, understand climate variability, and promote healthy ecosystdata management systems for the comprehensive, continuous monitoring of coupled ocean / atmospheric / land systems that enhance NOAA's ability to protect lives, property, expand economic opportunities, understand climate variability, and promote healthy ecosystems.

Land use emissions are estimated using deforestation and other land - use data, fire observations from space and carbon cycle modelLand use emissions are estimated using deforestation and other land - use data, fire observations from space and carbon cycle modelland - use data, fire observations from space and carbon cycle modeling.

MM04 failed to acknowledge other independent data supporting the instrumental thermometer - based land surface temperature observations, such as satellite - derived temperature trend estimates over land areas in the Northern Hemisphere (Intergovernmental Intergovernmental Panel on Climate Change, Third Assessment Report, Chapter 2, Box 2.1, p. 106) that can not conceivably be subject to the non-climatic sources of bias considered by them.

The Climate Analysis and Monitoring theme updates the database with non real - time data on a semi-monthly or as - available basis to bring in observations from BC Hydro, Ministry of Agriculture, Ministry of Forests Lands and Natural Resource Operations and Rural Development's Forest Ecosystem Research network and Environment and Climate Change Canada's data that are not available from the near real - time feed.

The underlying integrated assessment model outputs for land use, atmospheric emissions and concentration data were harmonized across models and scenarios to ensure consistency with historical observations while preserving individual scenario trends.

Stegehuis A., Vautard R., Teuling R., Ciais P. Jung M. Yiou, P. (2012) Summer temperatures in Europe and land heat fluxes in observation - based data and regional climate model simulations, in press by Climate Dynamics; doi 10.1007 / s00382 -012-1559-x

How to Lie With Data (or, «Melting Away Global Warming») New Observations Confirm Greenland, Antarctica Losing Land Ice Rapidly The Top of the World Sinks Ever Lower New Study: Climate Scientists Overwhelmingly Agree Global Warming Is Real and Our Fault Slaying the Zombie Ideas of Climate Change Denial

A component of the NASA Earth Exchange, OpenNEX provides users a large collection of climate and Earth science satellite data sets, including global land surface images, vegetation conditions, climate observations and climate projections.

«These data, together with newly available surface observations from the Baseline Surface Radiation Network (BSRN) from 1990 to present, show that the decline in solar radiation reaching land surfaces seen in earlier data disappears in the 1990's.»

«Causes of differences in model and satellite tropospheric warming rates» «Comparing tropospheric warming in climate models and satellite data» «Robust comparison of climate models with observations using blended land air and ocean sea surface temperatures» «Coverage bias in the HadCRUT4 temperature series and its impact on recent temperature trends» «Reconciling warming trends» «Natural variability, radiative forcing and climate response in the recent hiatus reconciled» «Reconciling controversies about the «global warming hiatus»»

-- Brandt et al., 2017 https://www.nature.com/articles/s41559-017-0081 Here we used a passive microwave Earth observation data set to document two different trends in land area with woody cover for 1992 — 2011: 36 % of the land area (6,870,000 km2) had an increase in woody cover largely in drylands, and 11 % had a decrease (2,150,000 km2), mostly in humid zones.

Again you may go back to scientific papers of past decades when the issue of land based observations was studied by the scientists as there was not yet much knowledge on the suitability of the available data for calculating averages of the temperature change.

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.)

, so of course the adjustment needed was to make the less stepped on ocean observations (2/3 of earth) warmer rather than the land «data» (1/3) cooler.

In no way is this comparable to the manufacture of data where no measurements have been taken or the substitution of one measured variable (daily mean land air temperature) with another (instantaneous SST observations) whose sampling method varies, is exceedingly uneven geographically, and no credible, alias - free time - series can be obtained.

To any extent that the records of «satellite data» have been used to create assessments of land surface temperatures by way of adjustment to calibrate those observations against the information harvested from the meteorological thermometers which are the subjects of the SurfaceStations.org study, the error has crept into the assessments of the satellite data.

The authors use a sea surface temperature data set that has been corrected for biases in sea surface data that arise due to the difference in measurements from ships and buoys, and the authors incorporate a much larger amount of data from land - based observations.

If one completely ignores any of the above data sets (whether they be direct measurements or proxies), there exist many disparate observations of global warming ranging from the rise in sea level which threatens various nations» lands... which has been either minimal or non-detectable, as opposed to what the AGW fans have been telling us.

That's not what the data shows - Vose et al 2005; «Minimum temperature increased about twice as fast as maximum temperature over global land areas since 1950, resulting in a broad decline in the diurnal temperature range...», and Zhou et al 2009; «Observations show that the surface diurnal temperature range (DTR) has decreased since 1950s over most global land areas...» would disagree.