Sentences with phrase «global land analysis»
This data set, created by the GLAD (Global Land Analysis & Discovery) lab at the University of Maryland and supported by Global Forest Watch, is the first Landsat - based alert system for tree cover loss.
https://www.globalforestwatch.org/ Not exact matches
He contends, first, that liberation theology should free its social analysis from a preoccupation with global «dependent capitalism» and move toward more specific analyses of land reform and of other pressing needs which would help popular Christian movements be «more politically effective at a national level.»
It was the discovery of a consistent year - to - year profile that allowed the researchers to move beyond a previous analysis, in which they identified the hottest spots on Earth, to the development of a new global - change indicator that uses the entire planet's maximum land surface temperatures.
Further observations will be used to refine the global map, to construct local and regional digital elevation models for scientific analysis and aid in assessment of future landing sites, and to attempt to detect and characterize global - scale seasonal variations.
Temperature anomalies for land and ocean are analyzed separately and then merged to form the global analysis.
Likewise, fire weather season length and long fire weather season affected area were significantly correlated with global net land carbon flux calculated from an analysis of the global carbon budget from 1979 to 2012 (ref.
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.
First, today a paper by Grant Foster and Stefan Rahmstorf was published by Environmental Research Letters, providing a new analysis of the five available global (land + ocean) temperature time series.
On average, the analysis covers the equivalent of 71 % of the total global land area, 17 % more than in previous studies.
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, 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, vol.
Chen, M. Y., Xie, P. P., Janowiak, J. E. & Arkin, P. A. Global land precipitation: a 50 - yr monthly analysis based on gauge observations.
Global analysis has found more than two billion hectares of land that could benefit from restoration.
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.
The evolution of global mean surface temperatures, zonal means and fields of sea surface temperatures, land surface temperatures, precipitation, outgoing longwave radiation, vertically integrated diabatic heating and divergence of atmospheric energy transports, and ocean heat content in the Pacific is documented using correlation and regression analysis.
Berkeley's analysis focused on the question of whether this effect biases the global land average.
With Russia accounting for a large portion of the world's land mass, incorrect data there could affect the analysis of global temperatures.
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.
Step 3 involves application of a spatial analysis technique (empirical orthogonal teleconnections, EOTs) to merge and smooth the ocean and land surface temperature fields and provide these merged fields as anomaly fields for ocean, land and global temperatures.
Btw, one could similarly use Bayesian analyses to determine, given BEST and HADSST, what is the likelihood of various global trends; indeed, one needs only know BEST and the relative size of the part of the globe BEST covers, to give definitive answers about global temperatures using Bayes (improved considerably if one has meaningful information about land - sea temperature relationships).
According to the NASA analysis, the global average land - ocean temperature last year was 58.2 degrees Fahrenheit, slightly more than 1 degree above the average temperature between 1951 and 1980, which scientists use as a baseline.
Earth's global average surface temperature has risen as shown in this plot of combined land and ocean measurements from 1850 to 2012, derived from three independent analyses of the available data sets.
Chen, M., Xie, P., Janowiak, J. E. & Arkin, P. A. Global land precipitation: a 50 - yr monthly analysis based on gauge observations.
re: «A complementary method for determining and / or evaluating global sea level rise is a budget analysis that adds together the cumulative effect of the main contributors to sea level rise: thermal expansion, melting of ice in glaciers, ice loss from the Greenland and the Antarctic ice sheets, and changes in land water storage.»
A complementary method for determining and / or evaluating global sea level rise is a budget analysis that adds together the cumulative effect of the main contributors to sea level rise: thermal expansion, melting of ice in glaciers, ice loss from the Greenland and the Antarctic ice sheets, and changes in land water storage.
Socio (s): CBD, IAEA, UNCCD, UNCTAD, UNDESA, UNECLAC, UNHCR, UNU, Organisation for Economic Co-operation and Development, Italian Ministry of Environment, Land and Sea, Italian Ministry of Foreign Affairs, Aquafed, Conservation International, Global Water Partnership, International Centre for Water Hazard and Risk Management, International Institute for Advanced Systems Analysis, International Research and Training Center on Erosion and Sedimentation, International Water Association, University of Dundee Centre for Water Law, Policy and Science, World Business Council on Sustainable Development, World Water Council
As part of their assessment of the HadCRUT4 dataset, the UK Met Office - University of East Anglia group carried out a sensitivity test (reported in Jones et al., 2012) in which the global analysis of land areas was re-run with all Australian data deleted.
Socio (s): UNDP, UNECE, UNEP, UNESCO, UNHABITAT, UNICEF, WFP, WMO, European Commission, Government of the United States of America, Arab Center for the Studies of Arid Zones and Dry Lands, Australian Government, AXIS, Beijing Normal University, CIMNE, Fondazione CIMA, Earth Literacy Program, Florida International University, Facultad Latinoamericana de Ciencias Sociales, Global Facility for Disaster Reduction and Recovery, GNS Science, Global Volcano Model, International Association of Volcanology and Chemistry of the Earth's Interior, International Institute for Applied Systems Analysis, Indian Institute for Human Settlements, INGENIAR, Integrated Research on Disaster Risk, International Recovery Platform, Kokusai Kogyo, Ltd., Lee Kuan Yew School of Public Policy, NGI, Organisation for Economic Co-operation and Development, Save the Children, Stockholm Environment Institute, National Autonomous University of Mexico, University of Huddersfield, University of Ghana, Victoria University of Wellington, WAPM, FEWS
* 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.
Temperature anomalies for land and ocean are analyzed separately and then merged to form the global analysis.
Thus in the following analyses we will focus on land data, while including some global data for comparison.
The anomaly map on the left is a product of a merged land surface temperature (Global Historical Climatology Network, GHCN) and sea surface temperature (ERSST.v4) anomaly analysis as described in Huang et al. (2016).
There is medium confidence for a detectable human contribution to past observed increases in heavy precipitation in general over global land regions with adequate coverage for analysis (e.g., IPCC AR5) and over the United States (Easterling et al. 2017), although an anthropogenic influence has not been formally detected for hurricane precipitation alone.
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 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.