Sentences with phrase «global land use data»

2008 Global Land Use Data Workshop (Institute of Social Ecology, Vienna, Austria, cohosted by the Netherlands Environmental Assessment Agency (PBL) and the Global Land Project).

Not exact matches

This data can then be used to analyze the spatial and temporal dynamics of environmental conditions, including baseline data for global climate change and their relevance to changes in regional land use patterns.

The researchers also used data from global climate monitoring stations to calculate CO2 emissions from tropical lands over the same time period.

Image: Jesse Allen / NASA (using SRTM data courtesy of Global Land Cover Facility / U.

The researchers produced a long - term global satellite record of land evapotranspiration using remote sensing satellite data.

Modeling Sea - Level Rise Effects on Population using Global Elevation and Land - Cover Data E. Lynn Usery (2007) http://cegis.usgs.gov/pdf/aag-2007.pdf

In the first comprehensive satellite study of its kind, a University of Colorado at Boulder - led team used NASA data to calculate how much Earth's melting land ice is adding to global sea level rise.

Further, all data sets were masked using the vegetated (burnable) land area defined by a global landcover data set developed from AVHRR satellite data67.

Global positioning satellites (GPS); remote sensing for water, minerals, and crop and land management; weather satellites, arms treaty verifications; high - temperature, light - weight materials; revolutionary medical procedures and equipment; pagers, beepers, and television and internet to remote areas of the world; geographic information systems (GIS) and algorithms used to handle huge, complex data sets; physiologic monitoring and miniaturization; atmospheric and ecological monitoring; and insight into our planet's geological history and future — the list goes on and on.

Rather, their analysis shows that if you compare the LGM land cooling with the model land cooling, then the model that fits the land best has much higher GLOBAL climate sensitivity than you get for best fit if you use ocean data.

Also they use a 5 × 5 ° grid for the oceans (or SSTs and Shakun et al 2011) and 2 × 2 ° grid for the land, and because of more data in the oceans, the global mean is probably too biased toward the ocean.

Modeling Sea - Level Rise Effects on Population using Global Elevation and Land - Cover Data E. Lynn Usery (2007) http://cegis.usgs.gov/pdf/aag-2007.pdf

For those not familiar with it, the purpose of Berkeley Earth was to create a new, independent compilation and assessment of global land surface temperature trends using new statistical methods and a wider range of source data.

Our work indicates that analysis of global land temperature trends is robust to a range of station selections and to the use of adjusted or unadjusted data.

Figure of 400 ppm calculated using fossil fuel emissions from G. Marland et al., «Global, Regional, and National CO2 Emissions,» in Trends: A Compendium of Data on Global Change (Oak Ridge, TN: Carbon Dioxide Information and Analysis Center, Oak Ridge National Laboratory, 2007), and land use change emissions from R. A. Houghton and J. L. Hackler, «Carbon Flux to the Atmosphere from Land - Use Changes,» in Trends: A Compendium of Data on Global Change (Oak Ridge, TN: Carbon Dioxide Information and Analysis Center, Oak Ridge National Laboratory, 2002), with decay curve cited in J. Hansen et al., «Dangerous Human - Made Interference with Climate: A GISS ModelE Study,» Atmospheric Chemistry and Physics, land use change emissions from R. A. Houghton and J. L. Hackler, «Carbon Flux to the Atmosphere from Land - Use Changes,» in Trends: A Compendium of Data on Global Change (Oak Ridge, TN: Carbon Dioxide Information and Analysis Center, Oak Ridge National Laboratory, 2002), with decay curve cited in J. Hansen et al., «Dangerous Human - Made Interference with Climate: A GISS ModelE Study,» Atmospheric Chemistry and Physics, vuse change emissions from R. A. Houghton and J. L. Hackler, «Carbon Flux to the Atmosphere from Land - Use Changes,» in Trends: A Compendium of Data on Global Change (Oak Ridge, TN: Carbon Dioxide Information and Analysis Center, Oak Ridge National Laboratory, 2002), with decay curve cited in J. Hansen et al., «Dangerous Human - Made Interference with Climate: A GISS ModelE Study,» Atmospheric Chemistry and Physics, Land - Use Changes,» in Trends: A Compendium of Data on Global Change (Oak Ridge, TN: Carbon Dioxide Information and Analysis Center, Oak Ridge National Laboratory, 2002), with decay curve cited in J. Hansen et al., «Dangerous Human - Made Interference with Climate: A GISS ModelE Study,» Atmospheric Chemistry and Physics, vUse Changes,» in Trends: A Compendium of Data on Global Change (Oak Ridge, TN: Carbon Dioxide Information and Analysis Center, Oak Ridge National Laboratory, 2002), with decay curve cited in J. Hansen et al., «Dangerous Human - Made Interference with Climate: A GISS ModelE Study,» Atmospheric Chemistry and Physics, vol.

To add to the confusion, «about 90 percent of the land - based data now being used to construct global averages are sampled in cities,» contaminating readings with an «urban heat island» effect.

Now in its 25th year, the report provides a checkup of global climate using data collected from land, sea, ice and space.

There is a major question in my mind of the wisdom of using a «global» surface temperature to begin with and a «global» surface temperature based on a SST which is more related to Tmin averaged with a land based «Surface» temperature that is based on T Ave.. So instead of blindly quoting nonsense, I actually try to verify using all the data that is available.

Please note that neither the land data nor the ocean data used in this analysis are the ones used in the NCEI paper «Possible artifacts of data biases in the recent global surface warming hiatus» that appeared on June 4, 2015.

C. warmer than it was with respect to the start of the industrial revolution, I believe that it would be necessary to use actual average global land - ocean surface temperature data (which would be imperfectly known that far back).

Deriving a reliable global temperature from the instrument data is not easy because the instruments are not evenly distributed across the planet, the hardware and observing locations have changed over the years, and there has been extensive land use change (such as urbanization) around some of the sites.

«A more accurate comparison of global ocean / land energy imbalances would be GISS (since they use Arctic data), and ocean heat content down to 2000 meters.»

Both NASA GISS and NOAA NCEI use NOAA's ERSST.v4 «pause buster» data for the ocean surface temperature components of their combined land - ocean surface temperature datasets, and, today, both agencies are holding a multi-agency press conference to announce their «warmest ever» 2016 global surface temperature findings.

Based on CERES - EBAF data calibrated to Argo OHC up to July the 2008 - 2017 average TOA imbalance is going to be about 0.9 W / m2, Berkeley Earth Land + Ocean global average about 1.01 K difference from 1860 - 1879, forcing updated using NOAA AGGI to about 2.3 W / m2.

A global version of the Escalator graphic has therefore been prepared using the NOAA NCDC global (land and ocean combined) data through December 2011 (Figure 1).

In order to better understand the causes of the Arctic's changing climate, the authors used observational data and nine CMIP5 global climate models to tease apart the effects of anthropogenic greenhouse gas emissions, natural forcings and other anthropogenic forcings (aerosols, ozone and land use changes).

Concentration in 2008 from Pieter Tans, «Trends in Atmospheric Carbon Dioxide — Mauna Loa,» NOAA / ESRL, at www.esrl.noaa.gov/gmd/ccgg/trends, viewed 7 April 2009; R. A. Houghton, «Carbon Flux to the Atmosphere from Land - Use Changes: 1850 — 2005,» in Carbon Dioxide Information Analysis Center, TRENDS: A Compendium of Data on Global Change (Oak Ridge, TN: Oak Ridge National Laboratory, 2008); Josep G. Canadell et al., «Contributions to Accelerating Atmospheric CO2 Growth from Economic Activity, Carbon Intensity, and Efficiency of Natural Sinks,» Proceedings of the National Academy of Sciences, vol.

«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»»

After earning his Ph.D. in Atmospheric Science from Colorado State University in 1991, Tom primarily engaged in creating NCDC's global land surface data set used to quantify long - term global climate change.

The Berkeley data is plotted with uncertainties estimated via randomly subdividing the 179,928 scalpeled stations into 8 smaller sets, calculating global land averages for each of those, and then comparing the results using the «jackknife» statistical method.

Just as many global south cities have never had land line telephony — they've gone straight to mobile phones — I think we'll see cities here that really are able to run on data, use the kind of whole smart city thinking to be very, very efficient, very high quality green design buildings.

Note we're using BEST land area, so actual rates of warming are slightly elevated from global levels including sea surface temperatures, however BEST has enough resolution to allow us to work with 12.5 years of temperature data and not have such abysmal CI as to need to reject the comparisons outright..

The BEST land data should not be used to infer anything quantitative about GLOBAL warming.

In their second approach, the BEST team performed a global land temperature reconstruction with their own methodology, using all the data and the very - rural sites only.

NASA's «GISS» temp uses land and ocean - based thermometers which measure «different parts of the system [UHI affected parking lots, asphalt heat sinks, AC exhaust air vents], different signal to noise ratio [we bias toward warm stations], different structural uncertainty [we «homogenise» our data set to cool the past and warm the present to fit the global warming narrative].»

In the first comprehensive satellite study of its kind, a University of Colorado at Boulder - led team used NASA data to calculate how much Earth's melting land ice is adding to global sea level rise.

Watts contends that if the global data were properly adjusted for urbanization and station siting, and land use change issues were addressed, what would emerge is a cyclical pattern of rises and falls with much less of any background trend.

As a very quick first pass at ballparking what the effect was, I used the above implementation on the HadCRUT3 global average (I realize that there's land data in this, but I was using this series in connection with testing a point made by UC and it was handy for me — if I do more work on this, I'll tidy this up.)

«In February, 2006 NCDC / NOAA transitioned to the use of an improved Global Land and Ocean data set.»

As a result of this emphasis and the prior absence of adequate tools, theory, and data, quantitative global land - use histories for earlier periods of the Holocene have only recently been developed (4, 19 ⇓ — 21).

A global archive of land cover and soils data for use in general circulation climate models.

* In February, 2006 NCDC transitioned to the use of an improved Global Land and Ocean data set (Smith and Reynolds analysis (2005)-RRB- which incorporates new algorithms that better account for factors such as changes in spatial coverage and evolving observing methods.

We use spatially explicit methods and publicly available global data sets to assess (i) the land area and population distribution in the LECZ and (ii) people living in the 100 - year flood plain for three points in time: For a baseline year (2000) and for the years 2030 and 2060.

may give cause for some to question the wider role of climate change and not solely global warming, that are induced by anthropogenic emissions, changes in land use, water quality etc for which there is direct empirical data in the form of images, and not in mathematical treatments of theory and simulated models.

We did this by getting grid - cell temperature data and aggregating these into a global average using land - area weights from our own research.

Explore over 100 global and local data sets to learn about conservation, land use, forest communities, and much more.

- The difficulty of obtaining meaningful global temperature data, due to land use changes, equipment changes, location changes, gaps in records, varying station numbers and gaps in geographic coverage.

The global Human — Earth System framework we propose, and represent schematically in Fig. 6, combines not only data collection, analysis techniques, and Dynamic Modeling, but also Data Assimilation, to bidirectionally couple an ESM containing subsystems for Global Atmosphere, Land (including both Land — Vegetation and Land - Use models) and Ocean and Ice, to a Human System Model with subsystems for Population Demographics, Water, Energy, Agriculture, Industry, Construction, and Transportglobal Human — Earth System framework we propose, and represent schematically in Fig. 6, combines not only data collection, analysis techniques, and Dynamic Modeling, but also Data Assimilation, to bidirectionally couple an ESM containing subsystems for Global Atmosphere, Land (including both Land — Vegetation and Land - Use models) and Ocean and Ice, to a Human System Model with subsystems for Population Demographics, Water, Energy, Agriculture, Industry, Construction, and Transportatdata collection, analysis techniques, and Dynamic Modeling, but also Data Assimilation, to bidirectionally couple an ESM containing subsystems for Global Atmosphere, Land (including both Land — Vegetation and Land - Use models) and Ocean and Ice, to a Human System Model with subsystems for Population Demographics, Water, Energy, Agriculture, Industry, Construction, and TransportatData Assimilation, to bidirectionally couple an ESM containing subsystems for Global Atmosphere, Land (including both Land — Vegetation and Land - Use models) and Ocean and Ice, to a Human System Model with subsystems for Population Demographics, Water, Energy, Agriculture, Industry, Construction, and TransportGlobal Atmosphere, Land (including both Land — Vegetation and Land - Use models) and Ocean and Ice, to a Human System Model with subsystems for Population Demographics, Water, Energy, Agriculture, Industry, Construction, and Transportation.

Who among hot climatists will want to commit to writing a desire to collaborate in figuring out a way to discredit the more accurate satellite data that shows no global warming going on 2 decades in preference to greater reliance on the use of massaged land - based temperature records that support the global warming alarmists» meme that free enterprise capitalism is destroying the Earth?

If the extra heat in data measured on land is applied to a period 1900 - 2010 — just to get a rough idea of the possible impact — using 35 - 40 % land area as hadcrut does — we get global extra heat of +0,34 to +0,39 K added to the overall warming of the Earth related to the extra heat occurring when measuring from cities, Airports etc..