Variability in projected elevation dependent warming in boreal midlatitude winter in CMIP5 climate models and its potential drivers
Supporting Files
-
2016
-
Source Climate Dynamics, 46(7-8), 2115-2122.
Rangwala, I., Sinsky, E., & Miller, J. R. (2016). Variability in projected elevation dependent warming in boreal midlatitude winter in CMIP5 climate models and its potential drivers. Climate Dynamics, 46(7). https://doi.org/10.1007/s00382-015-2692-0
Rangwala, Imtiaz, Eric Sinsky, and James R. Miller. "Variability in projected elevation dependent warming in boreal midlatitude winter in CMIP5 climate models and its potential drivers." Climate Dynamics 46, no. 7 (2016). https://doi.org/10.1007/s00382-015-2692-0.
Rangwala, Imtiaz, et al. "Variability in projected elevation dependent warming in boreal midlatitude winter in CMIP5 climate models and its potential drivers." Climate Dynamics, vol. 46, no. 7, 2016. NOAA IR. https://doi.org/10.1007/s00382-015-2692-0.
Details
-
Journal Title:Climate Dynamics
-
Personal Author:
-
NOAA Program & Office:
-
Description:The future rate of climate change in mountains has many potential human impacts, including those related to water resources, ecosystem services, and recreation. Analysis of the ensemble mean response of CMIP5 global climate models (GCMs) shows amplified warming in high elevation regions during the cold season in boreal midlatitudes. We examine how the twenty-first century elevation-dependent response in the daily minimum surface air temperature d(Delta Tmin)/dz varies among 27 different GCMs during winter for the RCP 8.5 emissions scenario. The focus is on regions within the northern hemisphere mid-latitude band between 27.5A degrees N and 40A degrees N, which includes both the Rocky Mountains and the Tibetan Plateau/Himalayas. We find significant variability in d(Delta Tmin)/dz among the individual models ranging from 0.16 A degrees C/km (10th percentile) to 0.97 A degrees C/km (90th percentile), although nearly all of the GCMs (24 out of 27) show a significant positive value for d(Delta Tmin)/dz. To identify some of the important drivers associated with the variability in d(Delta Tmin)/dz during winter, we evaluate the co-variance between d(Delta Tmin)/dz and the differential response of elevation-based anomalies in different climate variables as well as the GCMs' spatial resolution, their global climate sensitivity, and their elevation-dependent free air temperature response. We find that d(Delta Tmin)/dz has the strongest correlation with elevation-dependent increases in surface water vapor, followed by elevation-dependent decreases in surface albedo, and a weak positive correlation with the GCMs' free air temperature response.
-
Source:Climate Dynamics, 46(7-8), 2115-2122.
-
DOI:
-
Document Type:
-
Compliance:Submitted
-
Download URL:
-
File Type:
[PDF - 1.52 MB]
-
Collection(s):
-
Main Document Checksum:urn:sha256:ad93425cd3eebacb16b107bad4b5b9a483cc85b4f4ae713cccb065b36bbad020
Supporting Files
Related Documents
-
Few if any high-resolution (annually resolved) paleoclimate records are available for the Hawaiian Islands prior to; similar to 1850 CE, after which s ...Diaz, Henry F. ;Wahl, Eugene R.
-
The analysis produced by the ensemble Kalman filter (EnKF) may be dynamically inconsistent and contain unbalanced gravity waves that are absent in the ...Lei, Lili ;Whitaker, Jeffrey S.
-
The Rapid Refresh (RAP), an hourly updated assimilation and model forecast system, replaced the Rapid Update Cycle (RUC) as an operational regional an ...Benjamin, Stanley G. ;Weygandt, Stephen S.
-
A wind energy Ramp Tool and Metric (RT&M) has been developed out of recognition that during significant ramp events (large changes in wind power Delta ...Bianco, Laura ;Djalalova, Irina V.
-
-
Determining the timing and impact of anthropogenic climate change in data-sparse regions is a considerable challenge. Arguably, nowhere is this more d ...Turney, Chris S M ;Jones, Richard T
-
With a goal of improving operational numerical weather prediction (NWP), the Developmental Testbed Center (DTC) has been working with operational cent ...Shao, Hui ;Derber, John
-
Time series of U.S. daily heavy precipitation (95th percentile) are analyzed to determine factors responsible for regionality and seasonality in their ...Hoerling, Martin ;Eischeid, Jon
-
-
The sensitivity of California precipitation to El Nino intensity is investigated by applying a multimodel ensemble of historical climate simulations t ...Hoell, Andrew ;Hoerling, Martin
-
The question of whether ocean coupling matters for the extratropical Northern Hemisphere atmospheric response to projected late 21st century Arctic se ...Deser, Clara ;Sun, Lantao
-
-
Self-organizing maps (SOMs) were used to explore relationships between large-scale synoptic conditions, especially vertically integrated water vapor t ...Swales, Dustin ;Alexander, Mike
-
Forced atmospheric teleconnections during 1979-2014 are examined using a 50-member ensemble of atmospheric general circulation model (AGCM) simulation ...Zhang, Tao ;Hoerling, Martin P.
-
Carbon dioxide emissions from electricity generation are a major cause of anthropogenic climate change. The deployment of wind and solar power reduces ...MacDonald, Alexander E. ;Clack, Christopher T. M.
-
Stratospheric ozone depletion plays a major role in driving climate change in the Southern Hemisphere. To date, many climate models prescribe the stra ...Li, Feng ;Vikhliaev, Yury V.
-
Ensemble postprocessing is frequently applied to correct biases and deficiencies in the spread of ensemble forecasts. Methods involving weighted, regr ...Hodyss, Daniel ;Satterfield, Elizabeth
-
International Arctic Systems for Observing the Atmosphere (IASOA) activities and partnerships were initiated as a part of the 2007-09 International Po ...Uttal, Taneil ;Starkweather, Sandra
-
The upper Sacramento River watershed is vital to California's water supply and is susceptible to major floods. Orographic precipitation in this comple ...Ralph, F. Martin ;Cordeira, Jason M.
-
-
The land surface model (LSM) described in this manuscript was originally developed as part of the NOAA Rapid Update Cycle (RUC) model development effo ...Smirnova, Tatiana G. ;Brown, John M.
-
The structural evolution of the inner core and near environment throughout the life cycle of Hurricane Edouard (2014) is examined using a synthesis of ...Zawislak, Jonathan ;Jiang, Haiyan
-
Noise interferometry is the process by which approximations to acoustic Green's functions, which describe sound propagation between two locations, are ...Brown, M.G. ;Godin, O.A.
-
-
Pathways to the production of precipitation in two cloud microphysics schemes available in the Weather Research and Forecasting (WRF) Model are invest ...Bao, J.-W. ;Michelson, S. A.
-
S-band profiling (S-PROF) radar measurements from different southeastern U.S. Hydrometeorology Testbed sites indicated a frequent occurrence of rain t ...Matrosov, Sergey Y. ;Cifelli, Robert
-
This study documents a very rapid increase in convective instability, vertical wind shear, and mesoscale forcing for ascent leading to the formation o ...Koch, Steven E. ;Ware, Randolph
-
This study consists of two parts. The first part describes the way in which vertical air motions and raindrop size distributions (DSDs) were retrieved ...Williams, Christopher R.
-
No DescriptionTheurich, Gerhard ;DeLuca, C.
-
No DescriptionScott, James D. ;Alexander, Michael A.
-
Many operational drought indices focus primarily on precipitation and temperature when depicting hydroclimatic anomalies, and this perspective can be ...Hobbins, Michael T. ;Wood, Andrew
-
During the summer of 2004 a network of 11 wind profiling radars (WPRs) was deployed in New England as part of the New England Air Quality Study (NEAQS ...Djalalova, Irina V. ;Olson, Joseph
-
The Pacific decadal oscillation (PDO), the dominant year-round pattern of monthly North Pacific sea surface temperature (SST) variability, is an impor ...Newman, Matthew ;Alexander, Michael A.
-
The semiarid U.S. Great Plains is prone to severe droughts having major consequences for agricultural production, livestock health, and river navigati ...Livneh, Ben ;Hoerling, Martin P.
-
-
The purpose of this study is to elucidate the individual and combined roles of thermodynamic and dynamic ocean-atmosphere coupling in the equilibrium ...Tomas, Robert A. ;Deser, Clara
-
Recent studies suggest that the atmosphere conditions arctic sea ice properties in spring in a way that may be an important factor in predetermining a ...Cox, Christopher J. ;Uttal, Taneil
-
Hurricane Irene (2011) moved northward along the eastern coast of the United States and was expected to cause severe wind and flood damage. However, t ...Lynn, Barry H. ;Khain, Alexander P.
-
To fully attribute the variability of reference evapotranspiration to its drivers, a mean-value, second-moment uncertainty analysis is applied to a 30 ...Hobbins, M. T.
-
-
-
The intrusion of lower-stratospheric extratropical potential vorticity into the tropical upper troposphere in the weeks surrounding the occurrence of ...Albers, John R. ;Kiladis, George N.
-
An analysis of atmospheric rivers (ARs) as defined by an automated AR detection tool based on integrated water vapor transport (IVT) and the connectio ...Mahoney, Kelly ;Jackson, Darren L.
-
The emergence of rapid Arctic warming in recent decades has coincided with unusually cold winters over Northern Hemisphere continents. It has been spe ...Sun, Lantao ;Perlwitz, Judith
Rangwala, I., Sinsky, E., & Miller, J. R. (2016). Variability in projected elevation dependent warming in boreal midlatitude winter in CMIP5 climate models and its potential drivers. Climate Dynamics, 46(7). https://doi.org/10.1007/s00382-015-2692-0
Rangwala, Imtiaz, Eric Sinsky, and James R. Miller. "Variability in projected elevation dependent warming in boreal midlatitude winter in CMIP5 climate models and its potential drivers." Climate Dynamics 46, no. 7 (2016). https://doi.org/10.1007/s00382-015-2692-0.
Rangwala, Imtiaz, et al. "Variability in projected elevation dependent warming in boreal midlatitude winter in CMIP5 climate models and its potential drivers." Climate Dynamics, vol. 46, no. 7, 2016. NOAA IR. https://doi.org/10.1007/s00382-015-2692-0.
The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles,
guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the
NOAA IR retains documents in their original published format to ensure public access to scientific information.