Difference between revisions of "Future climate projections"

From Climate Change AI Wiki
Jump to navigation Jump to search
(create ppage)
 
(Replaced content with "{{Stub}} {{Disclaimer}} Placeholder text ==Background Readings== ==Conferences, Journals, and Professional Organizations== ==Libraries and Tools== ==Data== ==Future...")
Tags: Visual edit Replaced
 
Line 3: Line 3:
 
{{Disclaimer}}
 
{{Disclaimer}}
   
  +
Placeholder text
Historical record provides valuable information for evaluating the performance of climate models with respect to the observed changes. However, especially early historical observations are available only for sparse regions. ML can help with filling in the gaps in observations to provide a complete record for different climate variables, such as ocean carbon uptake<ref>{{Cite journal|last=Landschützer|first=P.|last2=Gruber|first2=N.|last3=Bakker|first3=D. C. E.|last4=Schuster|first4=U.|last5=Nakaoka|first5=S.|last6=Payne|first6=M. R.|last7=Sasse|first7=T. P.|last8=Zeng|first8=J.|date=2013-11-29|title=A neural network-based estimate of the seasonal to inter-annual variability of the Atlantic Ocean carbon sink|url=https://bg.copernicus.org/articles/10/7793/2013/|journal=Biogeosciences|language=English|volume=10|issue=11|pages=7793–7815|doi=10.5194/bg-10-7793-2013|issn=1726-4170}}</ref><ref>{{Cite journal|last=Gregor|first=Luke|last2=Lebehot|first2=Alice D.|last3=Kok|first3=Schalk|last4=Scheel Monteiro|first4=Pedro M.|date=2019-12-10|title=A comparative assessment of the uncertainties of global surface ocean CO2 estimates using a machine-learning ensemble (CSIR-ML6 version 2019a) – have we hit the wall?|url=https://gmd.copernicus.org/articles/12/5113/2019/|journal=Geoscientific Model Development|language=English|volume=12|issue=12|pages=5113–5136|doi=10.5194/gmd-12-5113-2019|issn=1991-959X}}</ref> or surface air temperature using neural networks<ref>{{Cite journal|last=Kadow|first=Christopher|last2=Hall|first2=David Matthew|last3=Ulbrich|first3=Uwe|date=2020-06|title=Artificial intelligence reconstructs missing climate information|url=https://www.nature.com/articles/s41561-020-0582-5|journal=Nature Geoscience|language=en|volume=13|issue=6|pages=408–413|doi=10.1038/s41561-020-0582-5|issn=1752-0908}}</ref>, Kriging<ref>{{Cite journal|last=Cowtan|first=Kevin|last2=Way|first2=Robert G.|date=2014|title=Coverage bias in the HadCRUT4 temperature series and its impact on recent temperature trends|url=https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/qj.2297|journal=Quarterly Journal of the Royal Meteorological Society|language=en|volume=140|issue=683|pages=1935–1944|doi=10.1002/qj.2297|issn=1477-870X}}</ref><ref>{{Cite journal|last=Morice|first=C. P.|last2=Kennedy|first2=J. J.|last3=Rayner|first3=N. A.|last4=Winn|first4=J. P.|last5=Hogan|first5=E.|last6=Killick|first6=R. E.|last7=Dunn|first7=R. J. H.|last8=Osborn|first8=T. J.|last9=Jones|first9=P. D.|last10=Simpson|first10=I. R.|title=An updated assessment of near-surface temperature change from 1850: the HadCRUT5 dataset|url=https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2019JD032361|journal=Journal of Geophysical Research: Atmospheres|language=en|volume=n/a|issue=n/a|pages=e2019JD032361|doi=10.1029/2019JD032361|issn=2169-8996}}</ref>, or Empirical Orthogonal Functions<ref>{{Cite journal|last=Benestad|first=R. E.|last2=Erlandsen|first2=H. B.|last3=Mezghani|first3=A.|last4=Parding|first4=K. M.|date=2019|title=Geographical Distribution of Thermometers Gives the Appearance of Lower Historical Global Warming|url=https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2019GL083474|journal=Geophysical Research Letters|language=en|volume=46|issue=13|pages=7654–7662|doi=10.1029/2019GL083474|issn=1944-8007}}</ref>.
 
 
==Background Readings==
 
==Background Readings==
   

Latest revision as of 16:26, 16 March 2021

🌎 This article is a stub, and is currently under construction. You can help by adding to it!

This page is part of the Climate Change AI Wiki, which aims provide resources at the intersection of climate change and machine learning.

Placeholder text

Background Readings[edit | edit source]

Conferences, Journals, and Professional Organizations[edit | edit source]

Libraries and Tools[edit | edit source]

Data[edit | edit source]

Future Directions[edit | edit source]

Relevant Groups and Organizations[edit | edit source]

References[edit | edit source]