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CAWCR technical report, 50. On the sensitivity of Australian temperature trends and variability to analysis methods and observation networks
Fawcett R.J.B.; Trewin B.; Braganza K.; et al. - Centre for Australian Weather and Climate Research, 2012This report presents an exploration of Australian temperature trends and variability using the new Australian Climate Observations Reference Network (ACORN) Surface Air Temperature (SAT) dataset. We compare changes in nationally and annually averaged daily-maximum, dailyminimum and daily-mean temperature variability to a range of alternative Australian temperature analyses over the last 100 years (1911-2010).On the sensitivity of Australian temperature trends and variability to analysis methods and observation networks
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Available online: https://www.cawcr.gov.au/publications/
R.J.B. Fawcett ; B. Trewin ; K. Braganza ; R.J. Smalley ; B. Jovanovic ; D.A. Jones
Published by: Centre for Australian Weather and Climate Research ; 2012This report presents an exploration of Australian temperature trends and variability using the new Australian Climate Observations Reference Network (ACORN) Surface Air Temperature (SAT) dataset. We compare changes in nationally and annually averaged daily-maximum, dailyminimum and daily-mean temperature variability to a range of alternative Australian temperature analyses over the last 100 years (1911-2010).
Collection(s) and Series: CAWCR technical report- No. 50
Language(s): English
Format: Digital (Free), Hard copyTags: Observations ; Climate model ; Air temperature ; Australia
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CAWCR technical report, 49. Techniques involved in developing the Australian Climate Observations Reference Network - Surface Air Temperature (ACORN-SAT) dataset
The Australian Climate Observations Reference Network – Surface Air Temperature (ACORNSAT) data set is a long-term data set of Australian daily air temperature, covering the period from 1910 to the present. The purpose of this data set is to provide the best possible data set to underlie analyses of variability and change of temperature in Australia, including both analyses of annual and seasonal mean temperatures, and of extremes of temperature and other information derived from daily temperatures. A full discussion of the motivation underlying the ACORN-SAT data set is contained in a compani ...Techniques involved in developing the Australian Climate Observations Reference Network - Surface Air Temperature (ACORN-SAT) dataset
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Available online: https://www.cawcr.gov.au/technical-reports/CTR_049.pdf
Published by: Centre for Australian Weather and Climate Research ; 2012
The Australian Climate Observations Reference Network – Surface Air Temperature (ACORNSAT) data set is a long-term data set of Australian daily air temperature, covering the period from 1910 to the present. The purpose of this data set is to provide the best possible data set to underlie analyses of variability and change of temperature in Australia, including both analyses of annual and seasonal mean temperatures, and of extremes of temperature and other information derived from daily temperatures. A full discussion of the motivation underlying the ACORN-SAT data set is contained in a companion report in this series. The purpose of this report is to describe the ACORN-SAT data set, the techniques involved in its development, and the issues that arise in developing such a long-term data set in Australia. Whilst the issues involved in producing any long-term data set are complex, most of them are well understood and, with appropriate treatment, do not substantially inhibit the development of a data set suitable for characterising long-term Australian temperature trends and variability.
Collection(s) and Series: CAWCR technical report- No. 49
Language(s): English
Format: Digital (Free), Hard copyTags: Observations ; Climate model ; Air temperature ; Australia
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Preparing Hydro-climate Inputs for Climate Change in Water Resource Planning
This lesson describes the process of selecting the best available climate projection information and using it to develop “climate-adjusted weather” inputs to be used for modeling climate change impacts. These modeled impacts can be used for planning of future water resources. Specific steps of this process include: 1) Recognizing the general science and terms associated with Atmosphere-ocean General Circulation Models (AOGCMs); 2) Making AOGCMs more regionally applicable through bias correction and downscaling; 3) Determining climate change scenarios based on climate projections and selecting ...
Available online: https://www.meted.ucar.edu/training_module.php?id=959
Published by: The University Corporation for Atmospheric Research ; 2012
This lesson describes the process of selecting the best available climate projection information and using it to develop “climate-adjusted weather” inputs to be used for modeling climate change impacts. These modeled impacts can be used for planning of future water resources. Specific steps of this process include: 1) Recognizing the general science and terms associated with Atmosphere-ocean General Circulation Models (AOGCMs); 2) Making AOGCMs more regionally applicable through bias correction and downscaling; 3) Determining climate change scenarios based on climate projections and selecting specific projections to inform each scenario; and 4) Developing climate-adjusted weather inputs associated with each climate change scenario. See An Introduction to the Downscaled Climate and Hydrology Projections Website for two related videos on how to access downscaled climate and hydrology projections.
Disclaimer regarding 3rd party resources: WMO endeavours to ensure, but cannot and does not guarantee the accuracy, accessibility, integrity and timeliness of the information available on its website. WMO may make changes to the content of this website at any time without notice.
The responsibility for opinions expressed in articles, publications, studies and other contributions rests solely with their authors, and their posting on this website does not constitute an endorsement by WMO of the opinion expressed therein.
WMO shall not be liable for any damages incurred as a result of the use of its website. Please do not misuse our website.Language(s): English
Format: Digital (Standard Copyright)Tags: Climate change ; Climatology ; Climate projection ; Climate services ; Climate model ; Lesson/ Tutorial ; Competencies for Provision of Climate Services
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Introduction to Climate Models
This module explains how climate models work. Because the modeling of both weather and climate share many similarities, the content throughout this module draws frequent comparisons and highlights the differences. We explain not only how, but why climate models differ from weather models. To do so, we explore the difference between weather and climate, then show how models are built to simulate climate and generate the statistics that describe it. We conclude with a discussion of models are tuned and tested.
Available online: https://www.meted.ucar.edu/training_module.php?id=913#.WyENZeTFRkk
Published by: The University Corporation for Atmospheric Research ; 2012
This module explains how climate models work. Because the modeling of both weather and climate share many similarities, the content throughout this module draws frequent comparisons and highlights the differences. We explain not only how, but why climate models differ from weather models. To do so, we explore the difference between weather and climate, then show how models are built to simulate climate and generate the statistics that describe it. We conclude with a discussion of models are tuned and tested.
Disclaimer regarding 3rd party resources: WMO endeavours to ensure, but cannot and does not guarantee the accuracy, accessibility, integrity and timeliness of the information available on its website. WMO may make changes to the content of this website at any time without notice.
The responsibility for opinions expressed in articles, publications, studies and other contributions rests solely with their authors, and their posting on this website does not constitute an endorsement by WMO of the opinion expressed therein.
WMO shall not be liable for any damages incurred as a result of the use of its website. Please do not misuse our website.Language(s): English
Format: Digital (Standard Copyright)Tags: Climate ; Climate services ; Climate model ; Competencies for Provision of Climate Services
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Assessment and modelling of climate variability and change in Cameroon (central Africa)
Cameroon is located on the west coast of central Africa. It is home to about twenty millions inhabitants relying upon rain‐fed agriculture for food security. With the increasing pressure of climate change, other activities for sustainable development such as transport, energy, water, livestock and urban settlement are also facing an increasing threat due to extreme climate and weather events. In some cases today’s climate extremes are expected to become tomorrow’s ‘normal’ weather. This assumption stresses the need of understanding the past, the current and hopefully to project local climate b ...Published by: University of Reading - Department of meteorology ; 2012
Cameroon is located on the west coast of central Africa. It is home to about twenty millions inhabitants relying upon rain‐fed agriculture for food security. With the increasing pressure of climate change, other activities for sustainable development such as transport, energy, water, livestock and urban settlement are also facing an increasing threat due to extreme climate and weather events. In some cases today’s climate extremes are expected to become tomorrow’s ‘normal’ weather. This assumption stresses the need of understanding the past, the current and hopefully to project local climate behaviour through variability or change assessment and modelling, thereby enabling stakeholders to plan ahead for modifications that may hamper sustainable development projects.
Notes: If you wish to download the full text, please contact library(at)wmo.int (Please replace (at) by @).
Language(s): English
Format: Digital (ill., charts, maps)Tags: Climate ; Climatic variation ; Climate change ; Climate model ; Sustainable development ; Cameroon ; Thesis - WMO Fellowship Division
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Projection of crop yield in Bhutan under climate change using PRECIS regional climate model
Bhutan is classified as one of the forty-eight least developed countries with farmers comprising more than two-thirds of its total population. The agriculture sector, which is a significant contributor to the country’s gross domestic product, has been vulnerable to extreme climate events in recent decades. As an effort to address the potential challenges it will face under climate change, this thesis projects the yields of three primary crops grown in Bhutan, rice, wheat and maize, for the period 2030 to 2050, based on climate projections by the PRECIS regional climate model.
In this st ...Permalink![]()
CAWCR technical report, 48. Seasonal Climate Prediction in the Pacific using the POAMA coupled model forecast system
Cottrill A.; Hendon Harry H.; Lim Eun-Pa; et al. - Centre for Australian Weather and Climate Research, 2012The tropical Pacific Ocean basin is home to over 20 Pacific Island nations, many of which are sensitive to climate extremes from the El Niño-Southern Oscillation (ENSO) and rainfall variability associated the Inter-Tropical Convergence Zone and the South Pacific Convergence Zone. These Pacific Island countries are highly dependent on agriculture, fishing and tourism as a major source of food production and income, which can vary greatly depending on the weather and climate experienced from year to year. Hence, the provision of skilful seasonal forecasts is important to allow these countries to ...Permalink![]()
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Финансовые рынки стимулируют потребность в моделях климата
Оперативное прогнозирование климата завоевывает позиции в качестве самой современной, активно развивающейся области климатического обслуживания для финансового сектора.Permalink![]()
Integración de los analistas financieros y científicos
Los planificadores nacionales están buscando inversores privados que contribuyan a financiar los planes de desarrollo basados en unas bajas emisiones de carbono.PermalinkPermalink![]()
Saharan and Asian dust: similarities and differences determined by CALIPSO, AERONET, and a coupled climate-aerosol microphysical model
This study compares the properties of atmospheric dust from the Saharan deserts and the Asian deserts using data from CALIPSO and AERONET during 2006 and 2007 along with simulations using a coupled climate-microphysical sectional model. Saharan deserts are largely south of 30° N, while Asian ones are primarily north of 30° N, hence they experience different meteorological regimes. Saharan dust lifting occurs all year long, primarily due to subtropical weather systems. However, Asian dust is lifted mostly in spring when mid-latitude frontal systems lead to high winds. Rainfall is more abundant ...Permalink![]()
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Intercomparison of Models - Verification of Moderate Rainfall over Nigeria in the Summer of 2010
The science of weather forecasting is only as good as its ability to produce results. Models are some of the tools meteorologists have come to depend on to help them in forecasting and the dependability as well as reliability of a model is measured by its ability to track and forecast ahead of time a given event. Thus this study looked at the inter comparison of four models namely; GFS, ECMWF, UKMET and METEOFRANCE models, three of which are mostly used by the forecast offices of the Nigerian Meteorological Agency.Permalink![]()
CAWCR technical report, 47. SCCM - the Simple Carbon-Climate Model: Technical Documentation.
Harman Ian N.; Trudinger C.M.; Raupach Mickael R. - Centre for Australian Weather and Climate Research, 2011SCCM – the Simple Carbon-Climate Model – is a deterministic model for the globally averaged carbon cycle and climate system. It comprises representations of the carbon, methane, nitrous oxide, chlorofluorocarbon (CFC) mass balances of the Earth system and for the evolution of the global mean near-surface air temperature. The model is designed to provide broad scale information about the carbon cycle and climate systems within other applications, for example climate change policy analysis. A fundamental feature of SCCM is that each constituent component is calibrated against more complex models ...Permalink![]()
How trees and people can co-adapt to climate change : reducing vulnerability in multifunctional landscapes
In this section we provide a more in-depth look at the role trees play in the provision of goods and services in multifunctional landscapes. Tree growth is, however, vulnerable to climate variability, depending on the physiological properties of the tree and characteristics of the site. A further quantification of climate variability and climate change is needed to advise on what types of trees can be grown where, to be ready for the likely local climate-change during their lifetime. This leads to a discussion of the two-way relationship between climate change adaptation and rewards for enviro ...Permalink![]()
Climate change and policy : the Calculability of Climate Change and the Challenge of Uncertainty
Springer-Verlag GmbH, 2011The debate on how mankind should respond to climate change is diverse, as the appropriate strategy depends on global as well as local circumstances.
As scientists are denied the possibility of conducting experiments with the real climate, only climate models can give insights into man-induced climate change, by experimenting with digital climates under varying conditions and by extrapolating past and future states into the future.
But the ‘nature’ of models is a purely representational one. A model is good if it is believed to represent the relevant processes of a ...Permalink