AGW Observer

Observations of anthropogenic global warming

Models & projections

Papers from New research stream

2016

CMIP5 scientific gaps and recommendations for CMIP6 (Stouffer et al. 2016) http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-15-00013.1

Climate change in the next 30 years: What can a convection-permitting model tell us that we did not already know? (Fosser et al. 2016) http://rd.springer.com/article/10.1007%2Fs00382-016-3186-4

Evaluating Arctic warming mechanisms in CMIP5 models (Franzke et al. 2016) http://link.springer.com/article/10.1007%2Fs00382-016-3262-9

The Impact of SST Biases on Projections of Anthropogenic Climate Change: A Greater Role for Atmosphere-only Models? (He & Soden, 2016) http://onlinelibrary.wiley.com/doi/10.1002/2016GL069803/abstract

The art and science of climate model tuning (Hourdin et al. 2016) http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-15-00135.1

High-resolution ensemble projections of near-term regional climate over the continental United States (Ashfaq et al. 2016) http://onlinelibrary.wiley.com/doi/10.1002/2016JD025285/abstract

Twentieth century temperature trends in CMIP3, CMIP5, and CESM-LE climate simulations – spatial-temporal uncertainties, differences and their potential sources (Kumar et al. 2016) http://onlinelibrary.wiley.com/doi/10.1002/2015JD024382/abstract

Assessing the robustness and uncertainties of projected changes in temperature and precipitation in AR4 Global Climate Models over the Arabian Peninsula (Almazroui et al. 2016) http://www.sciencedirect.com/science/article/pii/S0169809516302058

The influence of model resolution on temperature variability (Klavans et al. 2016) http://link.springer.com/article/10.1007%2Fs00382-016-3249-6

Evaluation of the skill of North-American Multi-Model Ensemble (NMME) Global Climate Models in predicting average and extreme precipitation and temperature over the continental USA (Slater et al. 2016) http://link.springer.com/article/10.1007%2Fs00382-016-3286-1

Assessing uncertainties in land cover projections (Alexander et al. 2016) http://onlinelibrary.wiley.com/doi/10.1111/gcb.13447/abstract

Effects of southeastern Pacific sea surface temperature on the double-ITCZ bias in NCAR CESM1 (Song & Zhang, 2016) http://journals.ametsoc.org/doi/abs/10.1175/JCLI-D-15-0852.1

Stochastic Parameterization: Towards a new view of Weather and Climate Models (Berner et al. 2016) http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-15-00268.1

Do convection-permitting regional climate models improve projections of future precipitation change? (Kendon et al. 2016) http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-15-0004.1

MiKlip – a National Research Project on Decadal Climate Prediction (Marotzke et al. 2016) http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-15-00184.1

Older papers:

2012

2011

2010

Implementation of the lake parameterisation scheme FLake into the numerical weather prediction model COSMO (Mironov et al. 2010) http://www.borenv.net/BER/ber152.htm#218
Coupling of the FLake model to the Surfex externalized surface model (Salgado & Le Moigne 2010) http://www.borenv.net/BER/ber152.htm#231
Coupling the 1-D lake model FLake to the community land-surface model JULES (Rooney & Jones 2010) http://www.borenv.net/BER/ber155.htm#501

2009

2008

2007

FinROSE — middle atmospheric chemistry transport model (Damski et al. 2007) http://www.borenv.net/BER/ber125.htm#535

2006

Regional climate simulations for the Barents Sea region (Keup-Thiel et al. 2006) http://www.borenv.net/BER/ber115.htm#329

2005

2004

FINSKEN: a framework for developing consistent global change scenarios for Finland in the 21st century (Carter et al. 2004) http://www.borenv.net/BER/ber92.htm#091
Defining alternative national-scale socio-economic and technological futures up to 2100: SRES scenarios for the case of Finland (Kaivo-oja et al. 2004) http://www.borenv.net/BER/ber92.htm#109
Climate change projections for Finland during the 21st century (Jylhä et al. 2004) http://www.borenv.net/BER/ber92.htm#127

2003

2002

The development of the regional coupled ocean-atmosphere model RCAO (Döscher et al. 2002) http://www.borenv.net/BER/ber73.htm#183
A numerical study using the Canadian Regional Climate Model for the PIDCAP period (Lorant et al. 2002) http://www.borenv.net/BER/ber73.htm#203
Validation of HIRLAM boundary-layer structures over the Baltic Sea (Pirazzini et al. 2002) http://www.borenv.net/BER/ber73.htm#211
Cluster analysis results of regional climate model simulations in the PIDCAP period (Kücken et al. 2002) http://www.borenv.net/BER/ber73.htm#219
Large-Eddy-Simulation of an off-ice airflow during BASIS (Etling et al. 2002) http://www.borenv.net/BER/ber73.htm#225
Marine boundary-layer height estimated from the HIRLAM model (Gryning & Batchvarova 2002) http://www.borenv.net/BER/ber73.htm#229

2001

2000

1999

1998

1997

1996

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1991

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