Artificial intelligence achieves easy-to-adapt nonlinear global temperature reconstructions using minimal local data

[1]  S. Brönnimann,et al.  A decade of cold Eurasian winters reconstructed for the early 19th century , 2022, Nature Communications.

[2]  Kiyoshi Takahashi,et al.  Extreme climate events increase risk of global food insecurity and adaptation needs , 2021, Nature Food.

[3]  S. Brönnimann,et al.  Unlocking weather observations from the Societas Meteorologica Palatina (1781–1792) , 2021, Climate of the Past.

[4]  S. Brönnimann,et al.  An updated global atmospheric paleo‐reanalysis covering the last 400 years , 2021, Geoscience data journal.

[5]  J. Tierney,et al.  Globally resolved surface temperatures since the Last Glacial Maximum , 2021, Nature.

[6]  R. Wilby,et al.  Reconstructed monthly river flows for Irish catchments 1766–2016 , 2020, Geoscience data journal.

[7]  Christopher Kadow,et al.  Artificial intelligence reconstructs missing climate information , 2020, Nature Geoscience.

[8]  R. Garcia-Herrera,et al.  Selection of optimal proxy locations for temperature field reconstructions using evolutionary algorithms , 2020, Scientific Reports.

[9]  I. Gouttevin,et al.  A deep learning reconstruction of mass balance series for all glaciers in the French Alps: 1967–2015 , 2020, Earth System Science Data.

[10]  K. Rehfeld,et al.  Variability of surface climate in simulations of past and future , 2020, Earth System Dynamics.

[11]  T. Hong,et al.  Quantifying the impacts of climate change and extreme climate events on energy systems , 2020, Nature Energy.

[12]  N. Arora,et al.  United Nations Sustainable Development Goals 2030 and environmental sustainability: race against time , 2019, Environmental Sustainability.

[13]  M. Taufer,et al.  Gap-free global annual soil moisture: 15 km grids for 1991–2018 , 2019, Earth System Science Data.

[14]  Holly A. Titchner,et al.  Towards a more reliable historical reanalysis: Improvements for version 3 of the Twentieth Century Reanalysis system , 2019, Quarterly Journal of the Royal Meteorological Society.

[15]  Sancho Salcedo-Sanz,et al.  Near-optimal selection of representative measuring points for robust temperature field reconstruction with the CRO-SL and analogue methods , 2019, Global and Planetary Change.

[16]  Gregory J. Hakim,et al.  Consistent multi-decadal variability in global temperature reconstructions and simulations over the Common Era , 2019, Nature Geoscience.

[17]  Joachim Denzler,et al.  Deep learning and process understanding for data-driven Earth system science , 2019, Nature.

[18]  Gregory J. Hakim,et al.  Last Millennium Reanalysis with an expanded proxy database and seasonal proxy modeling , 2018, Climate of the Past.

[19]  M. Scheffer,et al.  Climate models predict increasing temperature variability in poor countries , 2018, Science Advances.

[20]  J. Marotzke,et al.  Internal variability in European summer temperatures at 1.5 °C and 2 °C of global warming , 2018, Environmental Research Letters.

[21]  C. Deser,et al.  Precipitation variability increases in a warmer climate , 2017, Scientific Reports.

[22]  Kenji Kawamura,et al.  A global multiproxy database for temperature reconstructions of the Common Era , 2017, Scientific Data.

[23]  S. Brönnimann,et al.  A monthly global paleo-reanalysis of the atmosphere from 1600 to 2005 for studying past climatic variations , 2017, Scientific Data.

[24]  J. Fasullo,et al.  Climate Variability and Change since 850 CE: An Ensemble Approach with the Community Earth System Model , 2016 .

[25]  Jared Rennie,et al.  The international surface temperature initiative global land surface databank: monthly temperature data release description and methods , 2014 .

[26]  B. Stevens,et al.  Climate and carbon cycle changes from 1850 to 2100 in MPI‐ESM simulations for the Coupled Model Intercomparison Project phase 5 , 2013 .

[27]  Jörg Franke,et al.  An ensemble-based approach to climate reconstructions , 2012 .

[28]  J. Hansen,et al.  Earth's energy imbalance and implications , 2011, 1105.1140.

[29]  A. Engelen,et al.  Monthly, seasonal and annual temperature reconstructions for Central Europe derived from documentary evidence and instrumental records since AD 1500 , 2010 .

[30]  H. Wanner,et al.  Five hundred years of gridded high-resolution precipitation reconstructions over Europe and the connection to large-scale circulation , 2006 .

[31]  M. Salinger Climate Variability and Change: Past, Present and Future – An Overview , 2005 .

[32]  H. Wanner,et al.  European Seasonal and Annual Temperature Variability, Trends, and Extremes Since 1500 , 2004, Science.

[33]  S. Hochreiter,et al.  Long Short-Term Memory , 1997, Neural Computation.

[34]  Edward R. Cook,et al.  SPATIAL REGRESSION METHODS IN DENDROCLIMATOLOGY: A REVIEW AND COMPARISON OF TWO TECHNIQUES , 1994 .