Estimating the regional climate responses over river basins to changes in tropical sea surface temperature patterns
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| 024 | 7 | 0 | |a 10.1007/s00382-014-2449-1 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00382-014-2449-1 | ||
| 245 | 0 | 0 | |a Estimating the regional climate responses over river basins to changes in tropical sea surface temperature patterns |h [Elektronische Daten] |c [Chii-Yun Tsai, Chris Forest, Thorsten Wagener] |
| 520 | 3 | |a We investigate how to identify and assess teleconnection signals between anomalous patterns of sea surface temperature (SST) changes and climate variables related to hydrologic impacts over different river basins. The regional climate sensitivity to tropical SST anomaly patterns is examined through a linear relationship given by the global teleconnection operator (GTO, also generally called a sensitivity matrix or an empirical Green's function). We assume that the GTO defines a multilinear relation between SST forcing and regional climate response of a target area. The sensitivities are computed based on data from a large ensemble of simulations using the NCAR Community Atmospheric Model version 3.1 (CAM 3.1). The linear approximation is evaluated by comparing the linearly reconstructed response with both the results from the full non-linear atmospheric model and observational data. The results show that the linear approximation can capture regional climate variability that the CAM 3.1 AMIP-style simulations produce at seasonal scales for multiple river basins. The linear method can be used potentially for estimating drought conditions, river flow forecasting, and agricultural water management problems. | |
| 540 | |a Springer-Verlag Berlin Heidelberg, 2014 | ||
| 690 | 7 | |a Global atmospheric teleconnections |2 nationallicence | |
| 690 | 7 | |a Sea surface temperature (SST) variability |2 nationallicence | |
| 690 | 7 | |a Regional climate sensitivity |2 nationallicence | |
| 690 | 7 | |a Empirical Green's functions |2 nationallicence | |
| 690 | 7 | |a Regional climate variability |2 nationallicence | |
| 690 | 7 | |a Hydrologic climate response |2 nationallicence | |
| 700 | 1 | |a Tsai |D Chii-Yun |u Department of Meteorology, Pennsylvania State University, 16802, University Park, PA, USA |4 aut | |
| 700 | 1 | |a Forest |D Chris |u Department of Meteorology, Pennsylvania State University, 16802, University Park, PA, USA |4 aut | |
| 700 | 1 | |a Wagener |D Thorsten |u Department of Civil Engineering and Cabot Institute, University of Bristol, BS8 1TR, Bristol, UK |4 aut | |
| 773 | 0 | |t Climate Dynamics |d Springer Berlin Heidelberg |g 45/7-8(2015-10-01), 1965-1982 |x 0930-7575 |q 45:7-8<1965 |1 2015 |2 45 |o 382 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00382-014-2449-1 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00382-014-2449-1 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Tsai |D Chii-Yun |u Department of Meteorology, Pennsylvania State University, 16802, University Park, PA, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Forest |D Chris |u Department of Meteorology, Pennsylvania State University, 16802, University Park, PA, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Wagener |D Thorsten |u Department of Civil Engineering and Cabot Institute, University of Bristol, BS8 1TR, Bristol, UK |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Climate Dynamics |d Springer Berlin Heidelberg |g 45/7-8(2015-10-01), 1965-1982 |x 0930-7575 |q 45:7-8<1965 |1 2015 |2 45 |o 382 | ||