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Maize Suitability in the Lowlands of Lesotho
The Food and Agriculture Organization (FAO) defined that the suitability is a function of crop climate requirements and land characteristics and it is a measure of how will the qualities of land unit matches the requirements of a particular form of land use. The aim of this research is to improve maize production in the lowlands of Lesotho, this is one of the agro-ecological zones with the most arable land and good soils so it is best to determine the suitability of each crop across this region. This will be achieved by quantitatively and qualitatively looking at the climate conditions require ...
Published by: Nanjing University of Information Science & Technology ; 2019
The Food and Agriculture Organization (FAO) defined that the suitability is a function of crop climate requirements and land characteristics and it is a measure of how will the qualities of land unit matches the requirements of a particular form of land use. The aim of this research is to improve maize production in the lowlands of Lesotho, this is one of the agro-ecological zones with the most arable land and good soils so it is best to determine the suitability of each crop across this region. This will be achieved by quantitatively and qualitatively looking at the climate conditions required by maize and also looking at the physio-chemical soil properties that suffices for the maximum production of the crop.
Climatic potential of maize under dryland farming in the lowlands of Lesotho was investigated using five climatic suitability indices namely: probability of receiving heat units of greater than 1320GDD, probability of a frost-free growing season, probability of seasonal rainfall of more than 650mm and the slope of an area. Also the physio-chemical properties of the soils found in the area of study were investigated looking at 6 soil parameters (pH, porosity, permeability, infiltration, organic matter, moisture equivalence) which are crucial to maize growth. For each of the above parameters a coverage layer was prepared in GIS environment and the layers were overlaid to obtain the agro-climatic suitability map of maize in the lowlands of Lesotho. Weighted overlay method is used for suitability analysis. The spatial analysis show that suitable soils are distributed throughout the whole lowlands but they are highly concentrated in the middle parts of the lowlands and with water requirement, the north-most part of the lowlands is highly suitable while the central part is moderately suitable.
The overall maize suitability in the lowlands of Lesotho indicate that 45.7% of the area is moderately suitable and this are concentrated in the middle to northern lowlands. 49.3% of the lowlands are found to be suitable for maize growth and are distributed throughout the whole lowlands but with the highest concentration in the north-most parts. Of the 5% remaining only 4.3% is highly suitable and it some area in the central part of Maseru near Moshoeshoe-I station.
Future projections show that there will be an improvement of growing degree days across the whole lowlands due to an increase in temperature but as of water requirement satisfaction there is a notable change of reduction especially in Mafeteng and Moshoeshoe-I this is due to reduction in annual accumulated rainfall, this is the case for both two (RCP 4.5, RCP 4.5) scenarios undertaken in this study.Notes: If you wish to download the full text, please contact library(at)wmo.int (Please replace (at) by @).
Language(s): English
Format: Digital (Available online for logged-in users)Tags: Agroclimatology ; Scenario ; Lesotho ; Suitability ; Weighted overlay method ; spatial analysis ; physio-chemical ; RCP 4.5
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Mesoscale Model Components of the National Blend of Models Version 3.0
The National Weather Service National Blend of Models (NBM) was updated to version 3.0 on 27 July 2017. Changes include: Eight new components for the contiguous U.S. (CONUS) and Alaska, including four deterministic models, two ensemble systems, and two post-processed statistical components Five new components for Hawaii and Puerto Rico Expanded forecast domains for the CONUS and Alaska A “Time of Day” (ToD), rather than NWP model, initial time concept Hourly NBM forecasts, with short, day 2-4, and extended forecasts Updated NBM guidance available 50-60 minutes after hourly run time New weather ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1375
Published by: The University Corporation for Atmospheric Research ; 2018
The National Weather Service National Blend of Models (NBM) was updated to version 3.0 on 27 July 2017. Changes include: Eight new components for the contiguous U.S. (CONUS) and Alaska, including four deterministic models, two ensemble systems, and two post-processed statistical components Five new components for Hawaii and Puerto Rico Expanded forecast domains for the CONUS and Alaska A “Time of Day” (ToD), rather than NWP model, initial time concept Hourly NBM forecasts, with short, day 2-4, and extended forecasts Updated NBM guidance available 50-60 minutes after hourly run time New weather elements for aviation and winter weather forecasting including precipitation type; and new QPF, cloud bases, ceilings, and visibilities New computation methods for wind direction and doubling of model components for ocean winds NBM v3.0 products have different characteristics from the previous v2.0. Coupled with the new “ToD” paradigm and new weather elements, the new NBM v3.0 results in big changes to forecast operations. This lesson starts with a five-minute video that describes these changes. Then to illustrate how forecast operations will be affected, we follow forecasters through important parts of a day shift, using NBM products to predict a winter storm.
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: Weather forecasting ; Mesoscale ; Numerical weather prediction ; Lesson/ Tutorial ; Aviation ; NWP Skills and Knowledge for Operational Meteorologists
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GOES-R Series Multilingual Training Resources
This listing of multilingual training materials for the GOES-R series includes both foundational lessons and quick guides developed by various partners at the request of the U.S. National Weather Service and NESDIS. The selections included here represent materials translated to Spanish and Portuguese. Training contributors include COMET, RAMMB/CIRA, CIMSS, and SPoRT. Translation contributors/reviewers include the Servicio Meteorológico Nacional (SMN) in Argentina and the University of São Paulo in Brazil.
Available online: https://www.meted.ucar.edu/training_module.php?id=1405
Published by: The University Corporation for Atmospheric Research ; 2018
This listing of multilingual training materials for the GOES-R series includes both foundational lessons and quick guides developed by various partners at the request of the U.S. National Weather Service and NESDIS. The selections included here represent materials translated to Spanish and Portuguese. Training contributors include COMET, RAMMB/CIRA, CIMSS, and SPoRT. Translation contributors/reviewers include the Servicio Meteorológico Nacional (SMN) in Argentina and the University of São Paulo in Brazil.
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: Satellite ; Weather forecasting ; Mesoscale ; Data assimilation ; Remote sensing ; Convection ; Lesson/ Tutorial ; Satellite Skills and Knowledge for Operational Meteorologists
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GOES-16 GLM Case Exercise: Buenos Aires Tornado and Hail Event
The Geostationary Lightning Mapper (GLM) flies aboard the GOES-R series satellites and provides lightning detection data at a quality and resolution not previously available from space. The GLM's continuous lightning monitoring capability is a valuable asset to detecting and monitoring developing thunderstorms 24 hours a day. This 30 minute lesson introduces learners to the benefits of using Geostationary Lightning Mapper (GLM) observations in assessing convection. Learners will explore a severe weather event near Buenos Aires, Argentina, and practice using GLM observations to determine initia ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1427
Published by: The University Corporation for Atmospheric Research ; 2018
The Geostationary Lightning Mapper (GLM) flies aboard the GOES-R series satellites and provides lightning detection data at a quality and resolution not previously available from space. The GLM's continuous lightning monitoring capability is a valuable asset to detecting and monitoring developing thunderstorms 24 hours a day. This 30 minute lesson introduces learners to the benefits of using Geostationary Lightning Mapper (GLM) observations in assessing convection. Learners will explore a severe weather event near Buenos Aires, Argentina, and practice using GLM observations to determine initial convection, supplement other data tools in estimating tendencies in storm strength, and evaluate the potential for severe weather.
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: Weather forecasting ; Lesson/ Tutorial ; Tornado ; Hail ; Remote sensing ; Convection ; Satellite Skills and Knowledge for Operational Meteorologists
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WMO for the 21st Century
This restructuring of the Organization will enhance proactive regional engagement and capacity development. In our response to the growing global demand for weather, climate and water expertise, the reform provisions assure that no Member is left behind.
Published by: WMO ; 2018
This restructuring of the Organization will enhance proactive regional engagement and capacity development. In our response to the growing global demand for weather, climate and water expertise, the reform provisions assure that no Member is left behind.
Language(s): English; Other Languages: French, Spanish, Russian, Arabic, Chinese
Format: Digital (Free)Tags: World Meteorological Organization (WMO) ; Reform
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编制WMO改革路线图 : 技术委员会和其他机构
世界气象组织 (WMO) - 世界气象组织 (WMO), 2018إن إعادة ھیكلة المنظمة ( WMO ) المشار إلیھا أعلاه ستعزز المشاركة الإقلیمیة الاستباقیة وبناء القدرات. وعملاً على تلبیة الطلب العالمي المتنامي على الخبرة المتخصصة في مجالات الطقس والمناخ والماء، تكفل أحكام الإصلاح ألا یتخلف أي عضو عن الركب.
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خریطة إصلاح المنظمة : اللجان الفنية والهيئات الأخرى
إن إعادة ھیكلة المنظمة ( WMO ) المشار إلیھا أعلاه ستعزز المشاركة الإقلیمیة الاستباقیة وبناء القدرات. وعملاً على تلبیة الطلب العالمي المتنامي على الخبرة المتخصصة في مجالات الطقس والمناخ والماء، تكفل أحكام الإصلاح ألا یتخلف أي عضو عن الركب.
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编制WMO改革路线图
世界气象组织 (WMO) - 世界气象组织 (WMO), 2018إن إعادة ھیكلة المنظمة ( WMO ) المشار إلیھا أعلاه ستعزز المشاركة الإقلیمیة الاستباقیة وبناء القدرات. وعملاً على تلبیة الطلب العالمي المتنامي على الخبرة المتخصصة في مجالات الطقس والمناخ والماء، تكفل أحكام الإصلاح ألا یتخلف أي عضو عن الركب.
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خریطة إصلاح المنظمة : (WMO)
إن إعادة ھیكلة المنظمة ( WMO ) المشار إلیھا أعلاه ستعزز المشاركة الإقلیمیة الاستباقیة وبناء القدرات. وعملاً على تلبیة الطلب العالمي المتنامي على الخبرة المتخصصة في مجالات الطقس والمناخ والماء، تكفل أحكام الإصلاح ألا یتخلف أي عضو عن الركب.
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