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IOM Report, 135. Survey on the Use of the Guide to Instruments and Methods of Observation (WMO-No. 8)
World Meteorological Organization (WMO) ; A. Lilja, S. Cohn, C. Fierz, J. Gueusquin, T. Konzelmann, P-W. S. Lau and A. Webb - WMO, 2021Interpreting and Communicating EPS Guidance: Germany Winter Event
This 45-minute lesson briefly introduces learners to the benefits of using probabilistic forecast information to assess weather and communicate forecast uncertainties. Learners will explore a winter weather event in Germany and practice synthesizing deterministic and probabilistic forecast guidance to better understand forecast uncertainties based on lead-time. Also, learners will decide how to best communicate the potential weather threats and impacts to local end users. The lesson is another component of the Forecast Uncertainty: EPS Products, Interpretation, and Communication distance learn ...Satellite Foundational Course for JPSS: SatFC-J (SHyMet Full Course Access)
The Satellite Foundational Course for JPSS (SatFC-J) is a series of short lessons focused on topics related to microwave remote sensing and Joint Polar Satellite System instruments and capabilities. Hosted by the Cooperative Institute for Research in the Atmosphere (CIRA), this resource provides access to the full set of course lessons, which were developed specifically for National Weather Service (NWS) forecasters. The lessons provide foundational training to help forecasters and decision makers maximize the utility of the U.S.’ new-generation polar-orbiting environmental satellites. The cou ...Spatial/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 ...
WWRP, 2018-1. 세계 인공증우 활동에 대한 전문가 평가 보고서
KMA, 2018가장 유익한 정보만을 제공하기 위하여 인공증우의 과학적 근거에만 초점을 맞추기로 했기 때문에 지구공학에 관련된 주제뿐만 아니라 우박방지, 안개소산 또는 안개제거도 이번 평가의 범위에서 제외되었다. 또한 가장 유용한 정보를 제공하기 위해, 구름씨뿌리기의 가장 일반적인 대상이었던 겨울철 지형성구름계와 대류성 구름계에 초점을 맞추기로 하였다. 이 평가서는 다섯 가지 주제로 구성되어 있다 .
WWRP, 2018-1. Peer Review Report on Global Precipitation Enhancement Activities
WMO, 2018In order to be most beneficial, this review focuses exclusively on the scientific basis for precipitation enhancement. Hail suppression, fog dispersion or harvesting as well as subjects related to geoengineering were, thus, out of scope for this current assessment. In addition, to provide the most useful information, the report focuses on the two cloud types most seeded in the past: winter orographic cloud systems and convective cloud systems. The review is structured in five thematic chapters
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 ...
Lesson and Group Exercise on Rain Formation
World Meteorological Organization (WMO) ; Badan Meteorologi, Klimatologi, dan Geofisika (BMKG) - WMO, 2018Statistical 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 ...Local 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 ...Met 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.
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