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Sorted by (Issue date descending, Date of update descending, Item Id descending, Number of collection descending, Item Id descending) Add the result to your favourites Refine your searchSpatial/Temporal Distribution of Rainfall and the Dynamic Factors Associated over African Great Lakes Region from 1981 to 2016
Based on Global Precipitation Climatology center (GPCC) precipitation data and Era-Interim Zonal and Meridional wind, relative humidity, Sea Level Pressure and Sea surface temperature data from ECMWF, Statistical methods were conducted to find out the interannual variability of rainfall and its dynamic factors in AGLR from 1981 to 2016. The results show that there are two (long and short) rainfall seasons over AGLR, MAM and OND respectively. The empirical orthogonal function was used to reveal through the dominant principal components (PC1) of the first EOF, the extreme years (wet and dry) for ...English
IOM Report, 131. WMO Solid Precipitation Intercomparison Experiment (SPICE) (2012 - 2015)
The Solid Precipitation Intercomparison Experiment (SPICE) was conducted as an internationally coordinated project, initiated and guided by the Commission for Instruments and Methods of Observation (CIMO) of the World Meteorological Organization (WMO). The SPICE field experiments took place between 2013 and 2015, with a preparatory stage during the winter of 2012/13.
SPICE was carried out as a major international effort, and has been remarkable for the diversity of organizations which hosted SPICE tests, contributed with instruments, and were engaged in the data analysis and the derivat ...English
Lesson and Group Exercise on Rain Formation
World Meteorological Organization (WMO) ; Badan Meteorologi, Klimatologi, dan Geofisika (BMKG) - WMO, 2018EnglishStatistical Methods in the NWS National Blend of Global Models Part 2
This lesson introduces users to the statistics used in generating the various weather element forecasts included in version 2 and 3 of the U.S. National Weather Service (NWS) National Blend of Global Models (NBM). This Level 3 lesson is intended for forecasters and users of NWS forecast products; some prior knowledge of numerical weather prediction and statistics is useful. Learners will be introduced to the analysis of record used to calibrate the NBM’s bias and error estimates. Learners will also explore the bias correction, weighting, and post-processing procedures used to produce the forec ...EnglishLocal Tropical Cyclone Precipitation Forecasting and Communication
This lesson introduces learners to the challenges in predicting and communicating localized tropical cyclone (TC) rainfall threats. The lesson discusses the key ingredients conducive for heavy TC rainfall, and the tools used by the National Weather Service to forecast it. Learners work through a TC case to practice interpreting precipitation guidance correctly and communicating the threat and impacts. The lesson also highlights the issuance of flash flood emergencies and areal flood warnings during TC events, and how to best communicate TC rainfall impacts for a local area. The lesson will tak ...EnglishMet 101: Basic Weather Processes
This lesson provides an overview of basic weather processes, beginning with how the distribution of incoming solar energy helps to establish Earth’s atmospheric circulations. Learners will gain an understanding of the differences between weather and climate, and how Earth’s winds tend to have dominant patterns determined by region. An introduction to atmospheric stability, clouds, precipitation processes, and thunderstorm characteristics is also included, along with an introduction to weather impacts affecting aviation operations.EnglishUsing the Local Climate Analysis Tool (LCAT) for Water Resilience Decisions
This lesson offers users of climate information a demonstration of the utility of the Local Climate Analysis Tool (LCAT) for water resources applications. The training follows a NOAA Climate Resilience Toolkit case study in Tampa, Florida, and illustrates how LCAT analyses can be used to inform the steps to climate resilience outlined in the Toolkit. This text-based, interactive lesson will be accessible to anyone using LCAT for water resources decision-making, though will be most useful to those with some familiarity with drought/water resources questions and information needs. Some backgroun ...EnglishWPC Rainfall Guidance for Tropical Cyclones
This lesson introduces learners to the challenges in predicting precipitation associated with tropical cyclones (TCs). It also provides an overview of the deterministic and probabilistic rainfall guidance products issued by the Weather Prediction Center (WPC) to forecast TC-related precipitation. Learners work through a TC case to practice interpreting the guidance correctly and communicating the precipitation threat. The lesson also highlights the different interpretations of probabilistic products from the WPC and National Hurricane Center, and the need for collaboration between national cen ...EnglishReservoir Pool Elevation: Considerations for Long-term Asset Management and Planning
Long-term management of critical water resources infrastructure needs to incorporate projected changes to environmental conditions. Reservoirs form the heart of water resource assets. Long-range plans for the repair, replacement, maintenance and renovation of these facilities depend on accurate projections of reservoir pool elevations. Environmental conditions, in turn, dictate the magnitude and timing of inflows and outflows from reservoirs, and thus the resulting water surface elevation. This lesson explores the factors that affect reservoir pool elevation and the considerations and challeng ...EnglishMet 101: Introduction to the Atmosphere
This lesson provides an overview of Earth’s atmosphere, its vertical structure, the fundamental forces acting on air, and how the atmosphere's composition affects the colors we see in the sky. The lesson also includes information about how Earth receives energy from the Sun as solar and infrared radiation, and the mechanisms for transferring heat around the globe. Learners will be introduced to the components of Earth’s water cycle, and also briefly explore the main types of systems used to observe the atmosphere.EnglishEvaluation of subseasonal prediction of extreme rainfall events and their relationship with the Madden Julian Oscillation over the Solomon Islands
The conference provides an opportunity for students especially PhD students to present their work and get feedback from other professionals. Not only that but the it also offers an excellent chance for networking among aspiring scientists and the possibility for future collaborations.EnglishStudy of interannual variability of October-December rainfall season over Djibouti
Rainfall is a very important weather and climate parameter that affects social and economic activities in Djibouti. This leads to droughts, floods and humanitarian disasters over the country. The rainfall climatology of the country has some changes which need to be taken into account while planning for economic activities such as civil and structural engineering. The whole country receives significant rains in the months of (October – December) and (March – April) as known except for the southern parts of the country. The southern part of the country gets its rains in the months of (June to Au ...EnglishChange of diurnal precipitation in different phases of Bsiso
As we know tropical intraseasonal oscillation (ISO) was described as 2 modes such as Boreal summer intraseasonal oscillation (BSISO) during boreal summer and Madden-Julian Oscillation (MJO) dominates during boreal winter. In summer time, Thailand where located at the coastal region at the Equator which is effected by BSISO. Some week there is strong diurnal cycle but some week is opposite. The purpose of this work is to study the evolution of BSISO and to study the change of diurnal precipitation in different phases of BSISO. Tropical Rainfall Measuring Mission (TRMM) version 3B42 data on 0.25 ...EnglishStatistical analysis of rainfall trend and water vapor distribution over the Central African Republic
To apprehend the temporal and spatial distribution of the rainfall over CAR, we computed thirty-three years (1981-2013) of monthly rainfall, relative humidity over the country divided into four (4) distinct sub-regions. Bearing different characteristics one to another, we found that Region 2 and Region 4 were having a statistical significant upward trend along the long term rainfall variation; meanwhile Region 3 was the one having a highest coefficient of variation on the yearly basis. The composite analysis showed that December, January and February were the months with higher frequency of va ...English
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