Academic literature on the topic 'Regional climate'
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Journal articles on the topic "Regional climate"
Brown, Alastair. "Regional climate prediction." Nature Climate Change 5, no. 3 (February 25, 2015): 193. http://dx.doi.org/10.1038/nclimate2561.
Full textLaprise, René. "Regional climate modelling." Journal of Computational Physics 227, no. 7 (March 2008): 3641–66. http://dx.doi.org/10.1016/j.jcp.2006.10.024.
Full textMcGregor, J. L. "Regional climate modelling." Meteorology and Atmospheric Physics 63, no. 1-2 (1997): 105–17. http://dx.doi.org/10.1007/bf01025367.
Full textMieruch, S., S. Noël, H. Bovensmann, J. P. Burrows, and J. A. Freund. "Markov chain analysis of regional climates." Nonlinear Processes in Geophysics 17, no. 6 (November 19, 2010): 651–61. http://dx.doi.org/10.5194/npg-17-651-2010.
Full textRockel, Burkhardt, and Beate Geyer. "The performance of the regional climate model CLM in different climate regions, based on the example of precipitation." Meteorologische Zeitschrift 17, no. 4 (August 25, 2008): 487–98. http://dx.doi.org/10.1127/0941-2948/2008/0297.
Full textRockel, Burkhard, Andreas Will, and Andreas Hense. "The Regional Climate Model COSMO-CLM (CCLM)." Meteorologische Zeitschrift 17, no. 4 (August 25, 2008): 347–48. http://dx.doi.org/10.1127/0941-2948/2008/0309.
Full textSchipper, Janus Willem, Julia Hackenbruch, Hilke Simone Lentink, and Katrin Sedlmeier. "Integrating Adaptation Expertise into Regional Climate Data Analyses through Tailored Climate Parameters." Meteorologische Zeitschrift 28, no. 1 (March 22, 2019): 41–57. http://dx.doi.org/10.1127/metz/2019/0878.
Full textEvans, Graeme. "REGIONAL SURVEY: CLIMATE CHANGE AND REGIONAL STUDIES." Regions Magazine 288, no. 1 (December 2012): 13–14. http://dx.doi.org/10.1080/13673882.2012.10636680.
Full textKilcik, A. "Regional sun–climate interaction." Journal of Atmospheric and Solar-Terrestrial Physics 67, no. 16 (November 2005): 1573–79. http://dx.doi.org/10.1016/j.jastp.2005.09.003.
Full textMcGregor, Helen. "Regional climate goes global." Nature Geoscience 11, no. 1 (January 2018): 18–19. http://dx.doi.org/10.1038/s41561-017-0046-8.
Full textDissertations / Theses on the topic "Regional climate"
Gbobaniyi, Emiola Olabode. "Transferability of regional climate models over different climatic domains." Doctoral thesis, University of Cape Town, 2010. http://hdl.handle.net/11427/4854.
Full textIncludes bibliographical references (p. 119-144).
In the continuing quest to improve climate model predictions to meet the increasing demand for knowledge on the regional effects of global climate change, it is pertinent to increase our understanding of how the underlying processes of climate are represented in the models we use to make these predictions. Concerted efforts in model evaluations and intercomparison have provided numerous insights into various model biases which plague current state-of-the-art regional climate models (RCMs). Model evaluation and assessment is crucial to model development and understanding how physical processes are represented in models is necessary for improving model parameterizations. This thesis explored model transferability as a new approach for systematic process-based intercomparison of RCMs. It investigated an untested transferability hypothesis which states that “for non-monsoon regions experiencing weak synoptic scale forcing, the height of the cloud base is correlated with the daytime surface fluxes”. An initial transferability experiment was conducted over Cabauw, the Netherlands (51.97°N, 4.93°E) to assess the models’ skill in resolving the diurnal and seasonal cycles and to investigate the simulated connections between surface and hydrometeorological variables over a non-monsoon station. The ability of models to resolve these cycles correctly is a good metric of their predictive capabilities. The data used for the study comprises three-hourly surface observations for the period October 2002 – December 2004 from the Coordinated Enhanced Observing Period (CEOP) measuring campaigns of the Global Energy and Water Cycle Experiment (GEWEX) and three-year simulations (2002 -2004) from five RCMs (CLM, GEMLAM, MRCC, RCA3 and RSM). In simulating seasonal and diurnal cycles of CBH and surface variables, the European models (CLM and RCA3) demonstrate a clear home advantage over the North American models (GEMLAM, MRCC and RSM). Principal component analysis revealed that the models couple the cloud base height with surface fluxes as in observations and that this coupling is not sensitive to changes in wind speed. This study found that summer daytime loadings gave the strongest couplings of variables. Three major processes were identified over Cabauw. First and most dominant is the surface energy process which couples sensible and latent heat with net radiation. The second process is thermodynamic, coupling temperature and surface moisture (specific humidity), and the third is a dynamic process which couples pressure and wind speed. A model intercomparison was then carried out across the six midlatitude domains to test the validity of the Cabauw findings. In observations, CBH is well coupled with the surface fluxes over Cabauw, Bondville, Lamont and BERMS, but coupled only with temperature over Lindenberg and Tongyu. All the models (except GEMLAM) simulated a good coupling with surface fluxes at all stations. In GEMLAM, there is no coupling between CBH and surface fluxes at any station. In less homogenous domains of the study, a very slight decrease in the strength of coupling is seen in most of the models, under strong large scale forcing. This would suggest that the coupling between cloud base height and surface fluxes in the models is possibly more influenced by radiative forcing than by synoptic controls. This second study confirmed the findings at Cabauw that the simulated cloud base is correlated with surface energy fluxes and the sign of the correlations in the models is as in observations. This finding is important for the modeling community as it establishes the fact that the models are actually simulating the direction of influence of surface fluxes and possibly, soil water variability, on cloud processes.
Sanchirico, Emily. "A Strong Institutional Climate: Regional Trade Networks and Climate Action." Thesis, University of Oregon, 2013. http://hdl.handle.net/1794/13410.
Full textQuaas, Johannes, Martin F. Quaas, Olivier Boucher, and Wilfried Rickels. "Regional climate engineering by radiation management." Universitätsbibliothek Leipzig, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-217984.
Full textRupper, Summer Burton. "Glacier sensitivity and regional climate : past and present /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/6728.
Full textPal, Sujan, and Sujan Pal. "Application of High-Resolution Regional Climate Model Product in Climate and Weather Research." Thesis, The University of Arizona, 2017. http://hdl.handle.net/10150/624093.
Full textBarandiaran, Daniel A. "Investigation into Regional Climate Variability using Tree-Ring Reconstruction, Climate Diagnostics and Prediction." DigitalCommons@USU, 2016. https://digitalcommons.usu.edu/etd/5024.
Full textMenon, Surabi. "Role of Sulfates in Regional Cloud-Climate Interactions." NCSU, 1998. http://www.lib.ncsu.edu/theses/available/etd-19981102-133647.
Full textAerosols affect the radiation budget of the earth-atmosphere system by directly reflecting or absorbing solar radiation and also indirectly, by altering the cloud albedo through changes in the cloud condensation nuclei concentration (CCN). Increases in CCN concentrations result in an increase in the cloud droplet number concentration (N). Assuming the cloud liquid water content (LWC) stays the same, this will result in smaller cloud droplet sizes. Thus, this will increase cloud reflectance and cloud lifetime as cloud cover also increases. An accurate quantification of the aerosol forcing effect is still not possible due to the complexity involved in understanding aerosol processes and their effects on climate. There has also been a lack of a coordinated effort toward linking surface and in situ observations, as well climate model results and satellite data. Due to the spatial and temporal heterogeneity in aerosol forcing, regional effects are important. In this dissertation, the direct and indirect radiative forcing effects of aerosols - primarily sulfates and to lesser extent soot aerosols at a site located in the southeastern U.S. are investigated by means of surface observations, modeling results and satellite data.During the summers of 1993-96, field experiments were conducted at Mt. Mitchell, North Carolina, at a site representative of the southeastern U.S. to determine the effect of pollutants on the cloud microphysical and optical properties. Analyses of the results from empirical relationships are used to obtain an estimate of the contribution of sulfates to indirect radiative forcing. Concurrent measurements of size resolved chemical concentrations, light scattering and absorption coefficients, aerosol size distribution and optical depth measurements were obtained during the winter of 1997 for cloud-free skies. Data from these measurements are used to investigate the chemical-physical-optical interaction between aerosols and to determine the direct forcing effect of aerosols by means of a column forcing model. Cloud water sulfate concentration is used as a measure of anthropogenic pollution. Back-trajectory analysis is used to identify the source of the air masses classified as polluted continental, continental and marine. The effect of anthropogenic pollution on cloud microphysical properties such as LWC, N, effective radii (Reff), CCN activation spectrum, cloud optical depth and reflectivity are investigated. The relationship between Reff and sulfate for different air masses, as well as the N-sulfate mass relationship, suggests that the counteracting effect of sulfates on greenhouse warming for the southeastern U.S. would be of a magnitude greater than -4.0 W m-2 obtained by previous modeling studies. Acidity variations between cloud droplets of different sizes indicated that on an average, smaller drops are enriched in sulfates, nitrates and ammonium, whereas, larger droplets have higher concentrations of sodium, calcium and magnesium. As part of a closure experiment cloud albedo calculated from in situ measurements was compared to that retrieved from the Advanced Very High Resolution Radiometer data for four years (1993-96). The nonlinear relationships between the cloud microphysical/optical properties and the sulfate content imply the existence of an optimum level for the sulfate concentration that would affect cloud albedo. In terms of the direct forcing effect, wintertime forcing obtained for an internal mixture of sulfate and soot aerosols is much lower than that obtained during summer, due to reduced sulfate concentrations in winter. A quantitative measure of the direct forcing indicates higher magnitudes both for summer and winter than is obtained from previous modeling results. Analyses of the direct and indirect radiative forcing effect of sulfates for the southeastern U.S. indicate that the negative forcing effect is of greater magnitude than is predicted by modeling results. Thus, reduction in sulfate emissions would have a significant impact on climate for the southeastern U.S.
Holsten, Anne. "Climate change vulnerability assessments in the regional context." Phd thesis, Universität Potsdam, 2013. http://opus.kobv.de/ubp/volltexte/2013/6683/.
Full textDie Anpassung von Sektoren an veränderte klimatische Bedingungen erfordert ein Verständnis von regionalen Vulnerabilitäten. Vulnerabilität ist als Funktion von Sensitivität und Exposition, welche potentielle Auswirkungen des Klimawandels darstellen, und der Anpassungsfähigkeit von Systemen definiert. Vulnerabilitätsstudien, die diese Komponenten quantifizieren, sind zu einem wichtigen Werkzeug in der Klimawissenschaft geworden. Allerdings besteht von der wissenschaftlichen Perspektive aus gesehen Uneinigkeit darüber, wie diese Definition in Studien umgesetzt werden soll. Ausdiesem Konflikt ergeben sich viele Herausforderungen, vor allem bezüglich der Quantifizierung und Aggregierung der einzelnen Komponenten und deren angemessenen Komplexitätsniveaus. Die vorliegende Dissertation hat daher zum Ziel die Anwendbarkeit des Vulnerabilitätskonzepts voranzubringen, indem es in eine systematische Struktur übersetzt wird. Dies beinhaltet alle Komponenten und schlägt für jede Klimaauswirkung (z.B. Sturzfluten) eine Beschreibung des vulnerablen Systems vor (z.B. Siedlungen), welches direkt mit einer bestimmten Richtung eines relevanten klimatischen Stimulus in Verbindung gebracht wird (z.B. stärkere Auswirkungen bei Zunahme der Starkregentage). Bezüglich der herausfordernden Prozedur der Aggregierung werden zwei alternative Methoden, die einen sektorübergreifenden Überblick ermöglichen, vorgestellt und deren Vor- und Nachteile diskutiert. Anschließend wird die entwickelte Struktur einer Vulnerabilitätsstudie mittels eines indikatorbasierten und deduktiven Ansatzes beispielhaft für Gemeinden in Nordrhein-Westfalen in Deutschland angewandt. Eine Übertragbarkeit auf andere Regionen ist dennoch möglich. Die Quantifizierung für die Gemeinden stützt sich dabei auf Informationen aus der Literatur. Da für viele Sektoren keine geeigneten Indikatoren vorhanden waren, werden in dieser Arbeit neue Indikatoren entwickelt und angewandt, beispielsweise für den Forst- oder Gesundheitssektor. Allerdings stellen fehlende empirische Daten bezüglich relevanter Schwellenwerte eine Lücke dar, beispielsweise welche Stärke von Klimaänderungen eine signifikante Auswirkung hervorruft. Dies führt dazu, dass die Studie nur relative Aussagen zum Grad der Vulnerabilität jeder Gemeinde im Vergleich zum Rest des Bundeslandes machen kann. Um diese Lücke zu füllen, wird für den Forstsektor beispielhaft die heutige und zukünftige Sturmwurfgefahr von Wäldern berechnet. Zu diesem Zweck werden die Eigenschaften der Wälder mit empirischen Schadensdaten eines vergangenen Sturmereignisses in Verbindung gebracht. Der sich daraus ergebende Sensitivitätswert wird anschließend mit den Windverhältnissen verknüpft. Sektorübergreifende Vulnerabilitätsstudien erfordern beträchtliche Ressourcen, was oft deren Anwendbarkeit erschwert. In einem nächsten Schritt wird daher das Potential einer Vereinfachung der Komplexität anhand zweier sektoraler Beispiele untersucht. Um das Auftreten von Waldbränden vorherzusagen, stehen zahlreiche meteorologische Indices zur Verfügung, welche eine Spannbreite unterschiedlicher Komplexitäten aufweisen. Bezüglich der Anzahl monatlicher Waldbrände weist die relative Luftfeuchtigkeit für die meisten deutschen Bundesländer eine bessere Vorhersagekraft als komplexere Indices auf. Dies ist er Fall, obgleich sie selbst als Eingangsvariable für die komplexeren Indices verwendet wird. Mit Hilfe dieses einzelnen meteorologischen Faktors kann also die Waldbrandgefahr in deutschen Region ausreichend genau ausgedrückt werden, was die Ressourceneffizienz von Studien erhöht. Die Methodenkomplexität wird auf ähnliche Weise hinsichtlich der Anwendung des ökohydrologischen Modells SWIM für die Region Brandenburg untersucht. Die interannuellen Bodenwasserwerte, welche durch dieses Modell simuliert werden, können nur unzureichend durch ein einfacheres statistisches Modell, welches auf denselben Eingangsdaten aufbaut, abgebildet werden. Innerhalb eines Zeithorizonts von Jahrzehnten, kann der statistische Ansatz jedoch das Bodenwasser zufriedenstellend abbilden und zeigt eine Dominanz der Bodeneigenschaft Feldkapazität. Dies deutet darauf hin, dass die Komplexität im Hinblick auf die Anzahl der Eingangsvariablen für langfristige Berechnungen reduziert werden kann. Allerdings sind die Aussagen durch fehlende beobachtete Bodenwasserwerte zur Validierung beschränkt. Die vorliegenden Studien zur Vulnerabilität und ihren Komponenten haben gezeigt, dass eine Anwendung noch immer wissenschaftlich herausfordernd ist. Folgt man der hier verwendeten Vulnerabilitätsdefinition, treten zahlreiche Probleme bei der Implementierung in regionalen Studien auf. Mit dieser Dissertation wurden Fortschritte bezüglich der aufgezeigten Lücken bisheriger Studien erzielt, indem eine systematische Struktur für die Beschreibung und Aggregierung von Vulnerabilitätskomponenten erarbeitet wurde. Hierfür wurden mehrere Ansätze diskutiert, die jedoch Vor- und Nachteile besitzen. Diese sollten vor der Anwendung von zukünftigen Studien daher ebenfalls sorgfältig abgewogen werden. Darüber hinaus hat sich gezeigt, dass ein Potential besteht einige Ansätze zu vereinfachen, jedoch sind hierfür weitere Untersuchungen nötig. Insgesamt konnte die Dissertation die Anwendung von Vulnerabilitätsstudien als Werkzeug zur Unterstützung von Anpassungsmaßnahmen stärken.
Mashila, Thabang. "Spatial planning for climate change adaptation : developing a climate change local area adaptation plan for Khayelitsha." Master's thesis, University of Cape Town, 2014. http://hdl.handle.net/11427/13332.
Full textClimate change is now widely seen as a major challenge of this time and the future of cities. However, the most vulnerable will be the urban poor particularly those located on the urban fringes in high risk areas with limited access to basic services and economic opportunities. In South Africa, although progress has been made to reduce socio-economic and environmental challenges created by apartheid legislations, inequalities still exist where the privileged live in safer and well located and serviced parts of the city while he poor are still located in settlements created by apartheid in urban fringes. Spatial Planning presents an opportunity to increase resilience to climate change in vulnerable areas of cities. Through integrating planning and climate adaptation actions, future spatial decisions will add to resilience to climate change and enhance wellbeing of people. The dissertation includes a case study that was conducted to learn about the status quo of the study area to effectively recommend relevant interventions that seek to create resilience to climate change in the area. A local area adaptation plan was then formulated including the framework for implementing proposed interventions in a 20 year timeframe.
Trail, Marcus Alexander. "Impact of climate-responsive controls and land usage on regional climate and air quality." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/53441.
Full textBooks on the topic "Regional climate"
Congbin, Fu, Guan Zhaoyong, He Jinhai, Jiang Zhihong, Menenti M, Rasool I, Xu Zhongfeng, and SpringerLink (Online service), eds. Regional Climate Studies of China. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2008.
Find full textFu, Congbin, Zhihong Jiang, Zhaoyong Guan, Jinhai He, and Zhongfeng Xu, eds. Regional Climate Studies of China. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-79242-0.
Full textDennis, Wheeler, and Mayes Julian 1963-, eds. Regional climates of the British Isles. London: Routledge, 1997.
Find full textRequena, José Manuel Castillo. El clima de Andalucía: Clasificación y análisis regional con los tipos. [Almería]: Instituto de Estudios Almerienses, 1989.
Find full textA, Jones J. A., ed. Regional hydrological response to climate change. Dordrecht: Kluwer Academic Publishers, 1996.
Find full textJones, J. A. A., Changming Liu, Ming-Ko Woo, and Hsiang-Te Kung, eds. Regional Hydrological Response to Climate Change. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-011-5676-9.
Full textIndia, Manola Brunet, and Diego López Bonillo, eds. Detecting and Modelling Regional Climate Change. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04313-4.
Full textA, Mellouki, Ravishankara, A. R. (Akkiheb Ramaiah), 1949-, and NATO Public Diplomacy Division, eds. Regional climate variability and its impacts in the Mediterranean area. Dordrecht: Springer, 2007.
Find full textRequena, José Manuel Castillo. El clima de Andalucía: Clasificación y análisis regional de los tipos de tiempo. [Almería]: Instituto de Estudios Almerienses, 1989.
Find full textKnight, C. Gregory. Integrated regional assessment of global climate change. New York: Cambridge University Press, 2009.
Find full textBook chapters on the topic "Regional climate"
Leung, L. Ruby. "Regional Climate Models regional climate model." In Encyclopedia of Sustainability Science and Technology, 8902–19. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-0851-3_363.
Full textKlein, A. H. F. "Regional Climate." In Subtropical Convergence Environments, 5–7. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60467-6_2.
Full textAlam, Mozaharul, and Puja Sawhney. "Regional Overview." In Springer Climate, 27–40. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99347-8_3.
Full textWilby, Robert L., and Hayley J. Fowler. "Regional climate downscaling." In Modelling the Impact of Climate Change on Water Resources, 34–85. Chichester, UK: John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9781444324921.ch3.
Full textScobie, Michelle. "Regional Climate Governance." In Global Encyclopedia of Public Administration, Public Policy, and Governance, 5357–62. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-20928-9_2845.
Full textSurkova, Galina V. "Regional Climate Variability." In The Handbook of Environmental Chemistry, 83–100. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/698_2009_2.
Full textZhang, Zhihua. "Regional Climate Change." In Multivariate Time Series Analysis in Climate and Environmental Research, 217–31. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67340-0_7.
Full textAvissar, Roni, Christopher P. Weaver, David Werth, Roger A. Pielke, Robert Rabin, Andrew J. Pitman, and Maria Assuncão Silva Dias. "The Regional Climate." In Vegetation, Water, Humans and the Climate, 21–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18948-7_4.
Full textScobie, Michelle. "Regional Climate Governance." In Global Encyclopedia of Public Administration, Public Policy, and Governance, 1–7. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31816-5_2845-1.
Full textAhrens, Bodo, and Andreas Dobler. "Regional Climate Projections." In Applied Geoinformatics for Sustainable Integrated Land and Water Resources Management (ILWRM) in the Brahmaputra River basin, 11–15. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-1967-5_4.
Full textConference papers on the topic "Regional climate"
"AgMIP Crop Regional Assessments." In ASABE 1st Climate Change Symposium: Adaptation and Mitigation. American Society of Agricultural and Biological Engineers, 2015. http://dx.doi.org/10.13031/cc.20152144189.
Full text"Regional climate change projections for the Tully sugar region." In 20th International Congress on Modelling and Simulation (MODSIM2013). Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2013. http://dx.doi.org/10.36334/modsim.2013.l11.sexton.
Full textEgorova, Alexandra, and Artyom Uzhegov. "Regional Innovation Climate: Definition and Analysis." In International Conference on Economics, Management and Technologies 2020 (ICEMT 2020). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/aebmr.k.200509.049.
Full textLiou, Kuo-Nan. "Radiative transfer and regional climate change." In RADIATION PROCESSES IN THE ATMOSPHERE AND OCEAN (IRS2012): Proceedings of the International Radiation Symposium (IRC/IAMAS). AIP, 2013. http://dx.doi.org/10.1063/1.4804701.
Full textSequera, Pedro, Osei Rhone, Jorge E. Gonza´lez, Amanuel T. Ghebreegziabher, Robert Bornstein, and Bereket Lebassi. "Impacts of Climate Changes in the Northern Pacific Coast on Related Regional Scale Energy Demands." In ASME 2011 5th International Conference on Energy Sustainability. ASMEDC, 2011. http://dx.doi.org/10.1115/es2011-54708.
Full textAthar, H., and Z. Sadia. "Mid-Latitude Anticyclones and Climate of Pakistan." In 14th Regional Conference on Mathematical Physics. WORLD SCIENTIFIC, 2018. http://dx.doi.org/10.1142/9789813224971_0031.
Full textGlebova, Irina. "INVESTMENT POLICY AND INVESTMENT CLIMATE: REGIONAL REALITIES." In 4th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM2017. Stef92 Technology, 2017. http://dx.doi.org/10.5593/sgemsocial2017/13/s03.053.
Full textWang, Hanjie, and Weilai Shi. "The LULC characterization and regional climate simulation." In Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, edited by Xiaoling Pan, Wei Gao, Michael H. Glantz, and Yoshiaki Honda. SPIE, 2003. http://dx.doi.org/10.1117/12.465434.
Full textNekos, A. N., M. V. Boiaryn, and I. M. Netrobchuk. "Global Climate Change – are There Regional Implications?" In 16th International Conference Monitoring of Geological Processes and Ecological Condition of the Environment. European Association of Geoscientists & Engineers, 2022. http://dx.doi.org/10.3997/2214-4609.2022580158.
Full textNissan, Hannah, Jim Clarke, Shirley Oliveira, and Ralf Toumi. "Adapting to Climate Change: A Regional Climate Model Study of the Caucasus." In International Conference on Health, Safety and Environment in Oil and Gas Exploration and Production. Society of Petroleum Engineers, 2012. http://dx.doi.org/10.2118/157430-ms.
Full textReports on the topic "Regional climate"
MacCracken, M. C. Climate projections with regional resolution. Office of Scientific and Technical Information (OSTI), August 1989. http://dx.doi.org/10.2172/5518381.
Full textBossert, J., J. Winterkamp, F. Barnes, and J. Roads. A coupled regional climate-biosphere model for climate studies. Office of Scientific and Technical Information (OSTI), April 1996. http://dx.doi.org/10.2172/215878.
Full textBader, D., H. Chin, and P. Caldwell. FY08 LDRD Final Report Regional Climate. Office of Scientific and Technical Information (OSTI), May 2009. http://dx.doi.org/10.2172/956849.
Full textBala, G., and A. Mirin. Detection and Attribution of Regional Climate Change. Office of Scientific and Technical Information (OSTI), January 2007. http://dx.doi.org/10.2172/1036845.
Full textWang, Wei-Chyung. Study of Regional Climate Change Final Technical Report. Office of Scientific and Technical Information (OSTI), March 2019. http://dx.doi.org/10.2172/1497709.
Full textLettenmaier, Dennis P. Hydrologic Extremes in a changing climate: how much information can regional climate models provide? Office of Scientific and Technical Information (OSTI), August 2012. http://dx.doi.org/10.2172/1111419.
Full textMcNulty, Steven, Sarah Wiener, Emrys Treasure, Jennifer Moore Myers, Hamid Farahani, Lisa Fouladbash, David Marshall, and Rachel F. Steele. Southeast Regional Climate Hub Assessment of Climate Change Vulnerability and Adaptation and Mitigation Strategies. United States. Department of Agriculture, January 2015. http://dx.doi.org/10.32747/2015.7279978.ch.
Full textGame, Edward, Craig Groves, Sarah Shafer, Carolyn Enquist, and Steve Schill. Incorporating climate change adaptation into regional cons assessments toda. The Nature Conservancy, November 2009. http://dx.doi.org/10.3411/col.11020022.
Full textBaer, Ferdinand, Joseph J. Tribbia, and Mark Taylor. Enhancements to modeling regional climate response and global variability. Office of Scientific and Technical Information (OSTI), December 2001. http://dx.doi.org/10.2172/799436.
Full textKinter, J. L. III, and J. Shukla. Predictability of global and regional climate variations. Final technical report. Office of Scientific and Technical Information (OSTI), August 1997. http://dx.doi.org/10.2172/510370.
Full text