Relevant bibliographies by topics / Calibration of climate model

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Calibration of climate model'

Author: Grafiati
Published: 25 May 2024
Last updated: 31 July 2025

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Journal articles on the topic "Calibration of climate model"

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Kutschera, Ellynne, John B. Kim, G. Stephen Pitts, and Ray Drapek. "“What’s Past Is Prologue”: Vegetation Model Calibration with and without Future Climate." Land 12, no. 6 (2023): 1121. http://dx.doi.org/10.3390/land12061121.

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Many models are designed to generate future predictions under climate-change scenarios. Such models are typically calibrated for a study area with climate data that represent historical conditions. However, future projections of the model may include outputs for which the model has not been calibrated. Ideally, a climate-change-impacts model would be calibrated for recent conditions and also for possible future climate conditions. We demonstrate an approach, where a vegetation model is subjected to two calibrations: conventionally to the study area and separately to the study area plus additio
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Lee, Jeonghoon, Jeonghyeon Choi, Jiyu Seo, Jeongeun Won, and Sangdan Kim. "Exploring Climate Sensitivity in Hydrological Model Calibration." Water 15, no. 23 (2023): 4094. http://dx.doi.org/10.3390/w15234094.

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In the context of hydrological model calibration, observational data play a central role in refining and evaluating model performance and uncertainty. Among the critical factors, the length of the data records and the associated climatic conditions are paramount. While there is ample research on data record length selection, the same cannot be said for the selection of data types, particularly when it comes to choosing the climatic conditions for calibration. Conceptual hydrological models inherently simplify the representation of hydrological processes, which can lead to structural limitation
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Tett, Simon F. B., Jonathan M. Gregory, Nicolas Freychet, Coralia Cartis, Michael J. Mineter, and Lindon Roberts. "Does Model Calibration Reduce Uncertainty in Climate Projections?" Journal of Climate 35, no. 8 (2022): 2585–602. http://dx.doi.org/10.1175/jcli-d-21-0434.1.

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Abstract Uncertainty in climate projections is large as shown by the likely uncertainty ranges in equilibrium climate sensitivity (ECS) of 2.5–4 K and in the transient climate response (TCR) of 1.4–2.2 K. Uncertainty in model projections could arise from the way in which unresolved processes are represented, the parameter values used, or the targets for model calibration. We show that, in two climate model ensembles that were objectively calibrated to minimize differences from observed large-scale atmospheric climatology, uncertainties in ECS and TCR are about 2–6 times smaller than in the CMI
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O'Reilly, Christopher H., Daniel J. Befort, and Antje Weisheimer. "Calibrating large-ensemble European climate projections using observational data." Earth System Dynamics 11, no. 4 (2020): 1033–49. http://dx.doi.org/10.5194/esd-11-1033-2020.

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Abstract. This study examines methods of calibrating projections of future regional climate for the next 40–50 years using large single-model ensembles (the Community Earth System Model (CESM) Large Ensemble and Max Planck Institute (MPI) Grand Ensemble), applied over Europe. The three calibration methods tested here are more commonly used for initialised forecasts from weeks up to seasonal timescales. The calibration techniques are applied to ensemble climate projections, fitting seasonal ensemble data to observations over a reference period (1920–2016). The calibration methods were tested an
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Kim, Daeha, Il Won Jung, and Jong Ahn Chun. "A comparative assessment of rainfall–runoff modelling against regional flow duration curves for ungauged catchments." Hydrology and Earth System Sciences 21, no. 11 (2017): 5647–61. http://dx.doi.org/10.5194/hess-21-5647-2017.

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Abstract. Rainfall–runoff modelling has long been a special subject in hydrological sciences, but identifying behavioural parameters in ungauged catchments is still challenging. In this study, we comparatively evaluated the performance of the local calibration of a rainfall–runoff model against regional flow duration curves (FDCs), which is a seemingly alternative method of classical parameter regionalisation for ungauged catchments. We used a parsimonious rainfall–runoff model over 45 South Korean catchments under semi-humid climate. The calibration against regional FDCs was compared with the
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Meinshausen, M., S. C. B. Raper, and T. M. L. Wigley. "Emulating coupled atmosphere-ocean and carbon cycle models with a simpler model, MAGICC6 – Part 1: Model description and calibration." Atmospheric Chemistry and Physics 11, no. 4 (2011): 1417–56. http://dx.doi.org/10.5194/acp-11-1417-2011.

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Abstract. Current scientific knowledge on the future response of the climate system to human-induced perturbations is comprehensively captured by various model intercomparison efforts. In the preparation of the Fourth Assessment Report (AR4) of the Intergovernmental Panel on Climate Change (IPCC), intercomparisons were organized for atmosphere-ocean general circulation models (AOGCMs) and carbon cycle models, named "CMIP3" and "C4MIP", respectively. Despite their tremendous value for the scientific community and policy makers alike, there are some difficulties in interpreting the results. For
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Beltran, Cesar, N. R. Edwards, A. B. Haurie, J. P. Vial, and D. S. Zachary. "Oracle-based optimization applied to climate model calibration." Environmental Modeling & Assessment 11, no. 1 (2005): 31–43. http://dx.doi.org/10.1007/s10666-005-9024-4.

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Koch, Julian, Mehmet Cüneyd Demirel, and Simon Stisen. "Climate Normalized Spatial Patterns of Evapotranspiration Enhance the Calibration of a Hydrological Model." Remote Sensing 14, no. 2 (2022): 315. http://dx.doi.org/10.3390/rs14020315.

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Spatial pattern-oriented evaluations of distributed hydrological models have contributed towards an improved realism of hydrological simulations. This advancement has been supported by the broad range of readily available satellite-based datasets of key hydrological variables, such as evapotranspiration (ET). At larger scale, spatial patterns of ET are often driven by underlying climate gradients, and with this study, we argue that gradient dominated patterns may hamper the potential of spatial pattern-oriented evaluation frameworks. We hypothesize that the climate control of spatial patterns
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Nguyen-Ky, Sy, and Katariina Penttilä. "Indoor Climate and Energy Model Calibration with Monitored Data of a Naturally Ventilated Dairy Barn in a Cold Climate." Applied Engineering in Agriculture 37, no. 5 (2021): 851–59. http://dx.doi.org/10.13031/aea.14280.

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HighlightsIndoor climate and energy model of a dairy barn is constructed and calibrated with collected data.Long-term monitoring of indoor conditions and electricity consumption greatly facilitates the model calibration process.Statistical benchmarks given by guidelines confirm the usability and reliability of the model.Abstract. This study demonstrates an application of ICE model calibration by using sensor building metrics in a naturally ventilated dairy house in a cold climate. The barn, at the time of the study, had 70 lactating cows and 30 calves with a total animal area of 1922 m2 and ot
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Urabe, Tomoyuki, Xiaoxiong Xiong, Taichiro Hashiguchi, Shigemasa Ando, Yoshihiko Okamura, and Kazuhiro Tanaka. "Radiometric Model and Inter-Comparison Results of the SGLI-VNR On-Board Calibration." Remote Sensing 12, no. 1 (2019): 69. http://dx.doi.org/10.3390/rs12010069.

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The Second Generation Global Imager (SGLI) on Global Change Observation Mission–Climate (GCOM-C) satellite empowers surface and atmospheric measurements related to the carbon cycle and radiation budget, with two radiometers of Visible and Near Infrared Radiometer (SGLI-VNR) and Infrared Scanning Radiometer (SGLI-IRS) that perform a wide-band (380 nm–12 µm) optical observation not only with as wide as a 1150–1400 km field of view (FOV), but also with as high as 0.25–0.5 km resolution. Additionally, polarization and along-track slant view observations are quite characteristic of SGLI. It is impo
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Dissertations / Theses on the topic "Calibration of climate model"

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Raoult, Nina. "Calibration of plant functional type parameters using the adJULES system." Thesis, University of Exeter, 2017. http://hdl.handle.net/10871/29837.

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Land-surface models (LSMs) are crucial components of the Earth system models (ESMs) that are used to make coupled climate-carbon cycle projections for the 21st century. The Joint UK Land Environment Simulator (JULES) is the land-surface model used in the climate and weather forecast models of the UK Met Office. JULES is also extensively used offline as a land-surface impacts tool, forced with climatologies into the future. In this study, JULES is automatically differentiated with respect to JULES parameters using commercial software from FastOpt, resulting in an analytical gradient, or adjoint
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Niraula, Rewati. "Understanding the Hydrological Response of Changed Environmental Boundary Conditions in Semi-Arid Regions: Role of Model Choice and Model Calibration." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/594961.

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Arid and semi-arid basins in the Western United States (US) have been significantly impacted by human alterations to the water cycle and are among the most susceptible to water stress from urbanization and climate change. The climate of the Western US is projected to change in response to rising greenhouse gas concentrations. Combined with land use/land cover (LULC) change, it can influence both surface and groundwater resources, both of which are a significant source of water in the US. Responding to this challenge requires an improved understanding of how we are vulnerable and the developmen
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Davies, Nicholas William. "The climate impacts of atmospheric aerosols using in-situ measurements, satellite retrievals and global climate model simulations." Thesis, University of Exeter, 2018. http://hdl.handle.net/10871/34544.

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Aerosols contribute the largest uncertainty to estimates of radiative forcing of the Earth’s atmosphere, which are thought to exert a net negative radiative forcing, offsetting a potentially significant but poorly constrained fraction of the positive radiative forcing associated with greenhouse gases. Aerosols perturb the Earth’s radiative balance directly by absorbing and scattering radiation and indirectly by acting as cloud condensation nuclei, altering cloud albedo and potentially cloud lifetime. One of the major factors governing the uncertainty in estimates of aerosol direct radiative fo
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Bensouda, Nabil. "Extending and formalizing the energy signature method for calibrating simulations and illustrating with application for three California climates." Texas A&M University, 2004. http://hdl.handle.net/1969.1/1080.

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This thesis extends and formalizes the energy signature method developed by Wei et al. (1998) for the rapid calibration of cooling and heating energy consumption simulations for commercial buildings. This method is based on the use of "calibration signatures" which characterize the difference between measured and simulated performance. By creating a library of shapes for certain known errors, clues can be provided to the analyst to use in identifying what simulation input errors may be causing the discrepancies. These are referred to as "characteristic signatures". In this thesis, sets of ch
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Andersson, Sara. "Mapping Uncertainties – A case study on a hydraulic model of the river Voxnan." Thesis, KTH, Mark- och vattenteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-173848.

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This master thesis gives an account for the numerous uncertainties that prevail one-dimensional hydraulic models and flood inundation maps, as well as suitable assessment methods for different types of uncertainties. A conducted uncertainty assessment on the river Voxnan in Sweden has been performed. The case study included the calibra-tion uncertainty in the spatially varying roughness coefficient and the boundary condi-tion uncertainty in the magnitude of a 100-year flood, in present and future climate conditions. By combining a scenario analysis, GLUE calibration method and Monte Carlo anal
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Liang, Dong Cowles Mary Kathryn. "Issues in Bayesian Gaussian Markov random field models with application to intersensor calibration." Iowa City : University of Iowa, 2009. http://ir.uiowa.edu/etd/400.

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Ben, Touhami Haythem. "Calibration Bayésienne d'un modèle d'étude d'écosystème prairial : outils et applications à l'échelle de l'Europe." Thesis, Clermont-Ferrand 2, 2014. http://www.theses.fr/2014CLF22444/document.

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Les prairies représentent 45% de la surface agricole en France et 40% en Europe, ce qui montre qu’il s’agit d’un secteur important particulièrement dans un contexte de changement climatique où les prairies contribuent d’un côté aux émissions de gaz à effet de serre et en sont impactées de l’autre côté. L’enjeu de cette thèse a été de contribuer à l’évaluation des incertitudes dans les sorties de modèles de simulation de prairies (et utilisés dans les études d’impact aux changements climatiques) dépendant du paramétrage du modèle. Nous avons fait appel aux méthodes de la statistique Bayésienne,
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Battisti, Rafael. "Calibration, uncertainties and use of soybean crop simulation models for evaluating strategies to mitigate the effects of climate change in Southern Brazil." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/11/11152/tde-03102016-162340/.

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The water deficit is a major factor responsible for the soybean yield gap in Southern Brazil and tends to increase under climate change. Crop models are a tool that differ on levels of complexity and performance and can be used to evaluate strategies to manage crops, according the climate conditions. Based on that, the aims of this study were: to assess five soybean crop models and their ensemble; to evaluate the sensitivity of these models to systematic changes in climate; to assess soybean adaptive traits to water deficit for current and future climate; and to evaluate how the crop managemen
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Dinh, Thi Lan Anh. "Crop yield simulation using statistical and machine learning models. From the monitoring to the seasonal and climate forecasting." Electronic Thesis or Diss., Sorbonne université, 2022. http://www.theses.fr/2022SORUS425.

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La météo et le climat ont un impact important sur les rendements agricoles. De nombreuses études basées sur différentes approches ont été réalisées pour mesurer cet impact. Cette thèse se concentre sur les modèles statistiques pour mesurer la sensibilité des cultures aux conditions météorologiques sur la base des enregistrements historiques. Lors de l'utilisation d'un modèle statistique, une difficulté critique survient lorsque les données sont rares, ce qui est souvent le cas pour la modélisation des cultures. Il y a un risque élevé de sur-apprentissage si le modèle n'est pas développé avec c
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Martínez, Asensio Adrián. "Impact of large-scale atmospheric variability on sea level and wave climate." Doctoral thesis, Universitat de les Illes Balears, 2015. http://hdl.handle.net/10803/371456.

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This thesis aims at quantitatively characterizing the recent (last few decades) and future climate variability of marine climate in the Western Mediterranean Sea and the North Atlantic Ocean. Namely it focuses on sea level and wind-waves, as these are the variables with a larger potential impact on coastal ecosystems and infrastructures. We first use buoy and altimetry data to calibrate a 50-year wind-wave hindcast over the Western Mediterranean in order to obtain the best characterization of the wave climate over that region. The minimization of the differences with respect to observations th
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Books on the topic "Calibration of climate model"

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Zapata, C. E. Calibration and validation of the enhanced integrated climatic model for pavement design. Transportation Research Board, 2008.

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Wise, Jacquelyn A. Thermometer calibration: A model for state calibration laboratories. U.S. Dept. of Commerce, National Bureau of Standards, 1986.

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Wise, Jacquelyn A. Thermometer calibration: A model for state calibration laboratories. U.S. Dept. of Commerce, National Bureau of Standards, 1986.

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Sun, Ne-Zheng, and Alexander Sun. Model Calibration and Parameter Estimation. Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2323-6.

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Kemp, Malcolm H. D. Market consistency: Model calibration in imperfect markets. Wiley, 2009.

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Associates, Dick Conway &. Puget Sound subarea forecasts: Model calibration and forecasts. Puget Sound Regional Council?, 1992.

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Dawkins, Christina. New directions in applied general equilibrium model calibration. typescript, 1999.

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Hackl, Christoph. Calibration and Parameterization Methods for the Libor Market Model. Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-04688-0.

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R, McNew-Cartwright Elizabeth, and Geological Survey (U.S.), eds. Calibration of a ground-water-flow model by regression. U.S. Dept. of the Interior, U.S. Geological Survey, 1996.

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R, McNew-Cartwright Elizabeth, and Geological Survey (U.S.), eds. Calibration of a ground-water-flow model by regression. U.S. Dept. of the Interior, U.S. Geological Survey, 1996.

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Book chapters on the topic "Calibration of climate model"

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Nandi, Saswata, and M. Janga Reddy. "Multiobjective Automatic Calibration of a Physically Based Hydrologic Model Using Multiobjective Self-Adaptive Differential Evolution Algorithm." In Climate Change Impacts on Water Resources. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64202-0_37.

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Oladapo, Olukunle Olaonipekun, Leonard Kofitse Amekudzi, Olatunde Micheal Oni, Abraham Adewale Aremu, and Marian Amoakowaah Osei. "Climate Change Impact on Soil Moisture Variability: Health Effects of Radon Flux Density Within Ogbomoso, Nigeria." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_201.

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AbstractClimate affects the quantity of soil moisture within the surface of the earth and this is obtained by affecting the amount of radon flux density escaping from the land surface. This chapter contains the evaluation of climate change conditions as it affects the variability of soil water for the purpose of estimating the health effects of radon flux density within Ogbomoso metropolis. The simulated soil moisture content around Ogbomoso was done for a period of 34 years using the hydrological model, Soil Water Assessment Tool (SWAT). The calibration and validation of the SWAT model was do
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Lombardi, Danilo, Kristina Micalizzi, and Marcello Vitale. "Development of a framework for modelling stand evapotranspiration at a local scale in a coastal mediterranean forest under climate change." In Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques. Firenze University Press, 2024. https://doi.org/10.36253/979-12-215-0556-6.21.

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This work presents a novel approach for local-scale quantification of stand plant transpiration. The methodology integrates leaf-scale gas exchange, meteorological, and soil water content data with satellite data to upscale results to the stand-scale. Field data enables the calibration of a photosynthesis biochemical model, comprising three modules simulating species-specific net assimilation rates, stomatal conductance, and evapotranspiration rates (ET). ET values, calculated per species, calibrate a forest stand evapotranspiration (ETA) model based on NDVI. ET and ETA, along with other fores
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Papadelis, Sotiris, and Alexandros Flamos. "An Application of Calibration and Uncertainty Quantification Techniques for Agent-Based Models." In Understanding Risks and Uncertainties in Energy and Climate Policy. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03152-7_3.

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Noilhan, Joel, Pierre Lacarrère, Florence Habets, and Richard J. Harding. "Use of Field Experiments in Improving the Land-surface Description in Atmospheric Models: Calibration, Aggregation and Scaling." In Vegetation, Water, Humans and the Climate. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18948-7_21.

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Nzimande, T. N. M., Vimbayi G. P. Chimonyo, E. M. Wimalasiri, and Tafadzwanashe Mabhaudhi. "Using AquaCrop, DSSAT and the SIMPLE to Estimate Water Use of Underutilised Cereal in South Africa." In Enhancing Water and Food Security Through Improved Agricultural Water Productivity. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-1848-4_9.

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Abstract The study compares yield, biomass and water use (WU) for maize, sorghum and millet simulated using three crop models of varying complexity: AquaCrop, DSSAT and the SIMPLE model. A standard set of crop parameters was used to develop crop files for all three models. Similar soil, climate and management descriptions from the Ukulinga Research Farm were used across the models. The performance of the three models was observed to be statistically different. Based on the mean bias error, all models overestimated yield, but the lowest overestimation was with AquaCrop (0.22 t/ha), followed by
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Engler, Camila, Carlos Marcelo Pais, Silvina Saavedra, Emanuel Juarez, and Hugo Leonardo Rufiner. "Prediction of the Impact of the End of year Festivities on the Local Epidemiology of COVID-19 Using Agent-Based Simulation with Hidden Markov Models." In Computational Science and Its Applications – ICCSA 2022. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10522-7_5.

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AbstractTowards the end of 2020, as people changed their usual behavior due to end of year festivities, increasing the frequency of meetings and the number of people who attended them, the COVID-19 local epidemic’s dynamic changed. Since the beginnings of this pandemic, we have been developing, calibrating and validating a local agent-based model (AbcSim) that can predict intensive care unit and deaths’ evolution from data contained in the state electronic medical records and sociological, climatic, health and geographic information from public sources. In addition, daily symptomatic and asymp
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Belarbi, Halima, Bénina Touaibia, Nadir Boumechra, Chérifa Abdelbaki, and Sakina Amiar. "Analysis of the Hydrological Behavior of Watersheds in the Context of Climate Change (Northwestern Algeria)." In Natural Disaster Science and Mitigation Engineering: DPRI reports. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2904-4_5.

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AbstractThe aim of this work is to study the temporal evolution of the rainfall-runoff relations of four basins in northwestern Algeria: the Tafna Maritime, Isser Sikkak, downstream Mouilah and Upper Tafna basins. The adopted approach consists of analyzing hydroclimatic variables using statistical methods and testing the nonstationarity of the rainfall-runoff relation by the cross-simulation method using the GR2M model. The results of the different statistical methods applied to the series of rainfall and hydrometric variables show a decrease due to a break in stationarity detected since the m
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Mamalakis, Antonios, Imme Ebert-Uphoff, and Elizabeth A. Barnes. "Explainable Artificial Intelligence in Meteorology and Climate Science: Model Fine-Tuning, Calibrating Trust and Learning New Science." In xxAI - Beyond Explainable AI. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04083-2_16.

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AbstractIn recent years, artificial intelligence and specifically artificial neural networks (NNs) have shown great success in solving complex, nonlinear problems in earth sciences. Despite their success, the strategies upon which NNs make decisions are hard to decipher, which prevents scientists from interpreting and building trust in the NN predictions; a highly desired and necessary condition for the further use and exploitation of NNs’ potential. Thus, a variety of methods have been recently introduced with the aim of attributing the NN predictions to specific features in the input space a
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Xu, Jie. "Model Calibration." In Simulation Foundations, Methods and Applications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64182-9_3.

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Conference papers on the topic "Calibration of climate model"

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da Silva Almeida, Fernando, Rafael Roque Rossi, Marcia Barbosa Henriques Mantelli, and Martin Ordenes Mizgier. "Calibration of a computer simulation with a test cell composed with a wall thermosyphons." In XX ENCONTRO NACIONAL DE TECNOLOGIA DO AMBIENTE CONSTRUÍDO. UFAL, 2024. http://dx.doi.org/10.46421/entac.v20i1.6298.

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Energy consumption is increasing exponentially. Studies indicate that the construction sector is one of the main contributors to such demands, and a significant portion of this consumption is dedicated to maintaining internal thermal comfort. Research indicates that irreversible global warming is underway until the end of this century. This emphasizes the dependence on mechanical climate control systems. In this context, passive cooling methods should be investigated. Thus, to broaden the investigation of these systems, the aim of this work is to calibrate a computational model, developed in t
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Jahn, Patrick, Gerrit Lassahn, and Kang Qiu. "Model-Based Calibration of an Automotive Climate Control System." In WCX SAE World Congress Experience. SAE International, 2020. http://dx.doi.org/10.4271/2020-01-1253.

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Hadjrioua, Farid, N. Belhaouas, A. Aissaoui, F. Mehareb, and K. Bakria. "Outdoor PV Module Characterization and Sandia Model Calibration in Local Climate." In 2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE). IEEE, 2022. http://dx.doi.org/10.1109/icateee57445.2022.10093701.

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Steinschneider, S., C. Brown, R. N. Palmer, and D. Ahlfeld. "Hydrology Models for Climate Change Assessment: Inter-Decadal Climate Variability and Parameter Calibration." In World Environmental and Water Resources Congress 2011. American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41173(414)428.

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Osypov, Valeriy, Nataliia Osadcha, Andrii Bonchkovskyi, et al. "Hydrological model of Ukraine: setup, calibration, and web interface." In International Conference of Young Scientists on Meteorology, Hydrology and Environmental Monitoring. Ukrainian Hydrometeorological Institute, 2023. http://dx.doi.org/10.15407/icys-mhem.2023.013.

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The planning of river basin management should utilize a high-resolution, process-based hydrological model to tackle issues such as diffuse pollution, drought, flood forecasting, and the impact of climate change. The studies available to date only encompass five meso-scale and one large-scale river basins in Ukraine. The objective of this study is to calibrate the Soil and Water Assessment Tool (SWAT) for all Ukrainian river basins, including upstream transboundary parts. The model could potentially assist in land management and assessing the impact of agriculture on water resources; hence, con
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"�Na�ve� inclusion of diverse climates in calibration is not sufficient to improve model reliability under future climate uncertainty." In 24th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, 2021. http://dx.doi.org/10.36334/modsim.2021.j8.trotter.

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Song, Mohan, Andrea E. Brookfield, and Alan E. Fryar. "INTEGRATED HYDROLOGIC MODEL CALIBRATION UNDER NON-STATIONARY CLIMATES." In GSA Connects 2023 Meeting in Pittsburgh, Pennsylvania. Geological Society of America, 2023. http://dx.doi.org/10.1130/abs/2023am-392564.

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Bin Masood, Junaid, Sajid Hussain, Ali AlAlili, Sara Zaidan, and Ebrahim Al Hajri. "Detailed Dynamic Model of an Institutional Building in Hot and Humid Climate Conditions." In ASME 2017 11th International Conference on Energy Sustainability collocated with the ASME 2017 Power Conference Joint With ICOPE-17, the ASME 2017 15th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2017 Nuclear Forum. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/es2017-3582.

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This paper is an ASHRAE Level 3 study of the energy audit process carried out in an institutional building, The Umm Shaif Building, of The Petroleum Institute, Abu Dhabi, UAE. It undertakes the study by collecting data and conditional surveys. The energy loss locations are highlighted through psychrometric and infrared camera analysis. The detailed dynamic model has been simulated using the EnergyPlus® simulation engine. The details of the building envelope, and fenestration, the occupancy schedules, the equipment energy consumption and HVAC details are presented. The detailed building model i
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Wang, Shuyuan, Dennis C. Flanagan, and Bernard A. Engel. "Calibration, Validation, and Evaluation of the Water Erosion Prediction Project (WEPP) Model for Hillslopes with Natural Runoff Plot Data." In Soil Erosion Research Under a Changing Climate, January 8-13, 2023, Aguadilla, Puerto Rico, USA. American Society of Agricultural and Biological Engineers, 2023. http://dx.doi.org/10.13031/soil.2023022.

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Wang, Shuyuan, Dennis C. Flanagan, and Bernard A. Engel. "Calibration, Validation, and Evaluation of the Water Erosion Prediction Project (WEPP) Model for Hillslopes with Natural Runoff Plot Data." In Soil Erosion Research Under a Changing Climate, January 8-13, 2023, Aguadilla, Puerto Rico, USA. American Society of Agricultural and Biological Engineers, 2023. http://dx.doi.org/10.13031/soil.23022.

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Reports on the topic "Calibration of climate model"

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Ellingson, R., W. Wiscombe, D. Murcray, W. Smith, and R. Strauch. ICRCCM Phase 2: Verification and calibration of radiation codes in climate models. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/7162458.

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Ellingson, R. G., W. J. Wiscombe, D. Murcray, W. Smith, and R. Strauch. ICRCCM Phase 2: Verification and calibration of radiation codes in climate models. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/6165998.

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Ellingson, R. G., W. J. Wiscombe, D. Murcray, W. Smith, and R. Strauch. ICRCCM (InterComparison of Radiation Codes used in Climate Models) Phase 2: Verification and calibration of radiation codes in climate models. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/6232336.

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Ellingson, R. G., W. J. Wiscombe, D. Murcray, W. Smith, and R. Strauch. ICRCCM Phase 2: Verification and calibration of radiation codes in climate models. Technical report, 1 November 1991--1 December 1992. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10105305.

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Ellingson, R. G., W. J. Wiscombe, D. Murcray, W. Smith, and R. Strauch. ICRCCM phase II: Verification and calibration of radiation codes in climate models. Final report, 1 May 1990--30 April 1993. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/569119.

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Ellingson, R. G. ICRCCM Phase II: Verification and calibration of radiation codes in climate models. Final report, May 1, 1993--June 30, 1997. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/563327.

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Finkelstein-Shapiro, Alan, and Victoria Nuguer. Climate Policies, Labor Markets, and Macroeconomic Outcomes in Emerging Economies. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0004844.

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We study the labor market and macroeconomic effects of introducing a carbon tax in the energy sector in emerging economies (EMEs) by building a framework with equilibrium unemployment and firm entry that incorporates key elements of the distinct employment and firm structure of EMEs. Our model endogenizes the adoption of green energy-production technologies--a core element of policy discussions regarding the transition to a low-carbon economy. Calibrating the model to EME data, we show that a carbon tax fosters greater green technology adoption and increases the share of green energy produced.
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Romero, José Vicente, Sara Naranjo-Saldarriaga, and Jonathan Alexander Muñoz-Martínez. Adverse Weather-Induced Inflation: Some Implications for Monetary Policy in a Small Open Economy. Banco de la República, 2025. https://doi.org/10.32468/be.1319.

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This paper examines the macroeconomic impacts of adverse weather shocks on the Colombian economy, with a specific focus on agricultural output, food prices, and headline inflation. Drawing on empirical evidence from events such as the 2015–2016 El Niño, we document that these shocks tend to reduce agricultural output and increase inflation while having a limited effect on aggregate GDP growth. Motivated by these stylized facts, we develop a small open economy New Keynesian model for Colombia that introduces a mechanism in which weather shocks alter the relative prices of agricultural and non-a
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Menikoff, Ralph. SURF Model Calibration Strategy. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1346849.

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Menikoff, Ralph. SURF model calibration strategy. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1581567.

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