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Analysis inter decadal of climate variability facing projections of the CMIP5 models and its involvement in the agricultural production of Venezuela
Agriculture is the largest employer in the world and is probably the most dependent on the climate of all human activities. In recent years there have been events that have put in evidence the vulnerability of global food security to major meteorological phenomena, both in global agricultural markets and the world economy. The food price crisis and the subsequent economic crisis reduced the purchasing power of large segments of the population in many developing countries, which seriously reduced their access to food and thus undermined their food security. During the years 2009 and 2010 in Ven ...
Analysis inter decadal of climate variability facing projections of the CMIP5 models and its involvement in the agricultural production of Venezuela
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Published by: Nanjing University of Information Science & Technology ; 2017
Agriculture is the largest employer in the world and is probably the most dependent on the climate of all human activities. In recent years there have been events that have put in evidence the vulnerability of global food security to major meteorological phenomena, both in global agricultural markets and the world economy. The food price crisis and the subsequent economic crisis reduced the purchasing power of large segments of the population in many developing countries, which seriously reduced their access to food and thus undermined their food security. During the years 2009 and 2010 in Venezuela there were strong weather anomalies, drought in the first case and the second extreme rains, caused mainly by the effect of the El Niño-Southern Oscillation (ENSO) event, with warm phase (El Niño) in 2009 and cold phase (La Niña) in 2010, affecting farming, mostly in Monagas, Anzoátegui and Guárico States negatively influencing its economy. The planning of agricultural production based on the use of agricultural information, as calendars of sowing, as well as the monitoring of the conditions during the crop cycle and the use of agrometeorological forecasting, then is of great importance for the development of the agricultural sector, because it minimizes the effects on food production which might be affected by climate variability, making it less vulnerable. Model results confirm the importance of known key physiological processes, such as the shortening of the time to maturity of a crop with increasing mean temperature, decline in grain set when high temperatures occur during flowering, and increased water stress at high temperatures throughout the growing cycle. Temperature responses are generally well understood for temperatures up to the optimum temperature for crop development. The impacts of prolonged periods of temperatures beyond the optimum for development are not as well understood. For this study the agro meteorological stations selected have daily records of all climatic elements, so it held a summary monthly apart from daily data (with prior quality control) for the accumulated monthly rainfall and temperature maximum and minimum for the 1971-2010 series. Therefore, Inter decadal rainfall and temperature analysis and the use of the cropwat 8.0 to model future scenarios can be estimated water requirements of main crops, allowing some adaptation measures to help mitigate the effects of climate change in the country's agricultural production. In selected stations were determined significant changes on ETc when the temperature increase and the availability of water is a key factor to reach the harvest. Adaptation measurements involve reducing risk and vulnerability; for developing countries rely heavily on climate-dependent agriculture and especially in conjunction with poverty and rapid increase in population they are vulnerable to climate change.
Notes: If you wish to download the full text, please contact the author (leilacudemus(at)hotmail.com) or library(at)wmo.int (Please replace (at) by @).
Language(s): English
Format: Digital (Free)Tags: Climatic variation ; Agroclimatology ; Water management ; Climate model ; Climate change ; Venezuela, Bolivarian Republic of ; Thesis - WMO Fellowship Division
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Climate change effect on wheat production over Ethiopia by model simulation and prediction
Climate is one of the key factors that affect agriculture. Climate change and climate variability have been observed, typically shown as global warming due to the increased greenhouse gases. The change in climate is even predicted to be rapped and sharp in recent future and the impacts of extreme climate condition associated with climate change will be high on agriculture. Studying the impacts of climate change, especially the effects of temperature and precipitation on agriculture, is important for food safety, agricultural management, and sustainable development.
Published by: Nanjing University of Information Science & Technology ; 2017
Climate is one of the key factors that affect agriculture. Climate change and climate variability have been observed, typically shown as global warming due to the increased greenhouse gases. The change in climate is even predicted to be rapped and sharp in recent future and the impacts of extreme climate condition associated with climate change will be high on agriculture. Studying the impacts of climate change, especially the effects of temperature and precipitation on agriculture, is important for food safety, agricultural management, and sustainable development.
Notes: If you wish to download the full text, please contact library(at)wmo.int (Please replace (at) by @).
Language(s): English
Format: Digital (Free)Tags: Agroclimatology ; Impact studies ; Climate prediction ; Climate model ; Climate change ; Ethiopia ; Thesis - WMO Fellowship Division
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Конкурс «Полярный вызов»: расширение границ наблюдений в целях исследования климата и обслуживания
Бюллетень, Том 64(2). BMO, 2016Криосфера является основным индикатором глобального изменения климата и играет существенную роль в клима- тической системе. Несмотря на успехи в области числен- ного моделирования, надежность долгосрочных прогнозов изменения климата в Арктике и Антарктике существенно ограничена недостатком систематических наблюдений in situ за морским льдом и подледной областью. По этой причине Всемирная программа исследований климата (ВПИК)1 и Фонд Принца Монако Альберта II спонсируют конкурс «Полярный вызов (Polar Challenge)»2, победителем которого станет группа, первой выполнившая программу измерений с испо ...
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in Бюллетень > Том 64(2) (2015 г.) . - p.34-36Криосфера является основным индикатором глобального изменения климата и играет существенную роль в клима- тической системе. Несмотря на успехи в области числен- ного моделирования, надежность долгосрочных прогнозов изменения климата в Арктике и Антарктике существенно ограничена недостатком систематических наблюдений in situ за морским льдом и подледной областью. По этой причине Всемирная программа исследований климата (ВПИК)1 и Фонд Принца Монако Альберта II спонсируют конкурс «Полярный вызов (Polar Challenge)»2, победителем которого станет группа, первой выполнившая программу измерений с использованием автономного подводного аппарата (АПА) на протяжении 2 000 км плавания под морским льдом Арктики и Антарктики. Дополнительное вознаграждение получит группа, выполнившая регулярные измерения толщины морского льда, а также те участники, которые успешно передадут в оперативные сети данные о местонахождении аппарата подо льдом и о состоянии подледной окружающей среды.
Language(s): Russian; Other Languages: English, French, Spanish
Format: Digital (Free), Hard copyTags: Climate services ; Climate model ; Research
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GAW Report, 226. Coupled Chemistry-Meteorology/ Climate Modelling (CCMM): status and relevance for numerical weather prediction, atmospheric pollution and climate research
Online coupled meteorology atmospheric chemistry models have undergone a rapid evolution in recent years. Although mainly developed by the air quality modelling community, these models are also of interest for numerical weather prediction and climate modelling as they can consider not only the effects of meteorology on air quality, but also the potentially important effects of atmospheric composition on weather. This report provides the main conclusions from the Symposium on “Coupled Chemistry-Meteorology/Climate Modelling: Status and Relevance for Numerical Weather Prediction, Air Quality and ...
Coupled Chemistry-Meteorology/ Climate Modelling (CCMM): status and relevance for numerical weather prediction, atmospheric pollution and climate research
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Published by: WMO ; 2016
Online coupled meteorology atmospheric chemistry models have undergone a rapid evolution in recent years. Although mainly developed by the air quality modelling community, these models are also of interest for numerical weather prediction and climate modelling as they can consider not only the effects of meteorology on air quality, but also the potentially important effects of atmospheric composition on weather. This report provides the main conclusions from the Symposium on “Coupled Chemistry-Meteorology/Climate Modelling: Status and Relevance for Numerical Weather Prediction, Air Quality and Climate Research” and an overall outcome of the European COST Action ES1004: European Framework for Online Integrated Air Quality and Meteorology Modelling (EuMetChem). It also contains the symposium abstracts and a review of the current research status of online coupled meteorology and atmospheric chemistry modelling, a survey of processes relevant to the interactions between atmospheric physics, dynamics and composition, and highlights selected scientific issues and emerging challenges, which require proper consideration to improve the reliability and usability of these models for three scientific communities: air quality, numerical meteorology modelling (including weather prediction) and climate modelling. It presents a synthesis of scientific progress in the form of answers on eight key questions and recommendations for future research directions and priorities in the development, application and evaluation of online coupled models.
Collection(s) and Series: WMO- No. 1172; GAW Report- No. 226
Language(s): English
Format: Digital (Free)ISBN (or other code): 978-92-63-11172-2
Tags: Data processing ; Numerical weather prediction ; Air pollution ; Climate model ; World Weather Research Programme (WWRP) ; Global Atmosphere Watch Programme (GAW) ; World Climate Research Programme (WCRP)
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The Polar Challenge: Pushing the Boundaries of Observations for Climate Research and Services
Bulletin, Vol. 64(2). WMO, 2015The cryosphere is a major indicator of global climate change and plays a fundamental role in the climate system. Despite advances in numerical modelling, the reliability of long-term climate change predictions in the Arctic and Antarctic are severely limited by the lack of systematic in situ observations of and beneath the sea ice. For this reason, the World Climate Research Programme (WCRP)1 and the Prince Albert II of Monaco Foundation are sponsoring a Polar Challenge2 that will reward the first team to complete a 2 000 km mission with an Autonomous Underwater Vehicle (AUV) under the Arctic ...
[article]
in Bulletin > Vol. 64(2) (2015) . - p.34-36The cryosphere is a major indicator of global climate change and plays a fundamental role in the climate system. Despite advances in numerical modelling, the reliability of long-term climate change predictions in the Arctic and Antarctic are severely limited by the lack of systematic in situ observations of and beneath the sea ice. For this reason, the World Climate Research Programme (WCRP)1 and the Prince Albert II of Monaco Foundation are sponsoring a Polar Challenge2 that will reward the first team to complete a 2 000 km mission with an Autonomous Underwater Vehicle (AUV) under the Arctic or Antarctic sea ice. Bonus awards will go to the team that has taken regular measurements of sea ice thickness and to those who successfully transmit their under-ice position and environmental data to operational networks.
Language(s): English; Other Languages: French, Russian, Spanish
Format: Digital (Free), Hard copyTags: Climate services ; Climate model ; Research
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Assessing the impacts of temporal resolution of precipitation forcing data on the surface energy and water balance
In urban climate research, spatial and temporal variability of precipitation is always a critical element for numerical modelling. However, the effects of temporal resolution of precipitation forcing data has received little attention. Moreover, there has always been a difference practically and theoretically in the availability of precipitation data. This study was carried out to assess the impact of temporal resolution of precipitation forcing data on the modelled surface energy and water balance using available data from a site at the Strand campus of Kings College London. Analysis has been ...
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Investigating apparent aerosol effects on precipitation in climate model simulations
Aerosols in the atmosphere serve as condensation nuclei for the cloud formation. This brings an important influence on the microphysical properties of cloud water that in turn affect the processes in the formation of precipitation. Aerosol-cloud-precipitation interaction which simultaneously change cloud albedo interest many studies to find out aerosol impact on precipitation formation. The studies were done by observation measurement and simulation. UK Met Office Unified Model (UM) is one model that includes aerosol direct and indirect effect in the NWP configuration which leads to study aero ...
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Creación de capacidad en la evaluación de modelos y en el apoyo a la toma de decisiones del CORDEX
Los informes de evaluación del clima en los ámbitos estatal, nacional e internacional son importantes a la hora de ofrecer una base científica que permita comprender y evaluar los impactos de la variabilidad climática y del cambio climático en sectores económicos tales como la agricultura y la alimentación, los recursos hídricos, la energía y el transporte.
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Building model evaluation and decision support capacity for CORDEX
State, national and international climate assessment reports are important to provide a scientific basis for the understanding and assessment of impacts of climate variability and change on economic sectors such as agriculture and food, water resources, energy and transport.
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Volume 93, Issue 9 - September 2012 - Regional climate models
is an issue of Bulletin of the American Meteorological Society. AMS, 2012
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Vol. 90A - February 2012 - Special issue on recent development on climate models and future climate projections
is an issue of Journal of the Meteorological Society of Japan. Meteorological Society of Japan, 2012
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CAWCR technical report, 51. Improvements in POAMA2 for the prediction of major climate drivers and south eastern Australian rainfall
Lim Eun-Pa; Hendon Harry H.; Langford Sally; et al. - Centre for Australian Weather and Climate Research, 2012Ocean-atmosphere interactions are key processes that drive seasonal climate variability. In the global sense, the atmosphere drives the upper ocean via heat flux, fresh water flux and wind stress (Anderson 2008). But in the tropics where the ocean surface temperature (hereafter, sea surface temperature, SST) is warm enough to trigger deep atmospheric convection, the ocean exerts strong controls on the atmosphere especially at longer time scales because of its slow variations and strong thermal inertia. Consequently, the highest predictability of atmospheric climate (e.g. temperature and rainfa ...
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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 ...
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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).
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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 ...
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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 ...
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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.
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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 ...
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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 ...
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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.
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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.
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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 ...
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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.
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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 ...
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