Results 61 to 70 of about 6,728 (212)
Short-term rainfall nowcasting: using rainfall radar imaging [PDF]
, 2009 As one of the most useful sources of quantitative precipitation measurement, rainfall radar analysis can be a very useful focus for research into developing methods for rainfall prediction.
O\u27Connor, Edel +7 more
core
Nowcasting World Trade With Machine Learning: A Three‐Step Approach
Journal of Forecasting, EarlyView.ABSTRACT We nowcast world trade using machine learning, distinguishing between tree‐based methods (random forest and gradient boosting) and their linear‐regression‐based counterparts (macroeconomic random forest and gradient boosting—linear). While much less used in the literature, the latter are found to outperform not only the tree‐based techniques ...
Menzie Chinn +2 more
wiley +1 more source
Altimeter Observation-Based Eddy Nowcasting Using an Improved Conv-LSTM Network
Remote Sensing, 2019 Eddies can be identified and tracked based on satellite altimeter data. However, few studies have focused on nowcasting the evolution of eddies using remote sensing data. In this paper, an improved Convolutional Long Short-Term Memory (Conv-LSTM) network
Chunyong Ma +4 more
doaj +1 more source
A MACHINE LEARNING APPROACH TO GDP NOWCASTING: AN EMERGING MARKET EXPERIENCE
Buletin Ekonomi Moneter dan Perbankan, 2023 The growth rate of real Gross Domestic Product (GDP), as measured by the National Statistical Office of India, is an important metric for monetary policy making.
Saurabh Ghosh, Abhishek Ranjan
doaj +1 more source
The Role of Coincident Information in Real‐Time Business Cycle Forecasting
Journal of Forecasting, EarlyView.ABSTRACT Official NBER recession dates are announced with substantial delay. Therefore, real‐time forecasters cannot condition on the most recent business cycle states even though recessions and expansions are highly persistent. I study whether real‐time coincident releases can substitute for this missing information. At each monthly forecast origin, I
Visa Kuntze
wiley +1 more source
Journal of International Development, EarlyView.ABSTRACT Food insecurity remains a persistent challenge in rural Colombia, driven by structural inequalities, livelihood constraints and exposure to shocks. This paper examined the determinants and predictive drivers of household food insecurity using nationally representative data from the Food and Agriculture Organisation (FAO) Data in Emergencies ...
Adrino Mazenda
wiley +1 more source
We define nowcasting as the prediction of the present, the very near future and the very recent past. Crucial in this process is to use timely monthly information in order to nowcast key economic variables, such as e.g.
Bańbura, Marta +2 more
core +1 more source
Characteristics and Trends in Short‐Duration Heavy Rain in Wet‐Season in Hong Kong
International Journal of Climatology, EarlyView.This study examines the characteristics of heavy rain events (hourly rainfall ≥ 30 mm) in Hong Kong from 2000 to 2024. A statistically significant increasing trend in short‐duration (1–3 h) heavy rain events (3.4 events per decade) in the wet season is observed, primarily due to other mechanisms rather than surface troughs or tropical cyclones. Notably,
Lai‐lai Leung +5 more
wiley +1 more source
Water Resources Research, 2023 Rainfall nowcasting has become increasingly important as we move into an era where more and more storms are occurring in many countries as a result of climate change.
Amirmasoud Amini +2 more
doaj +1 more source
The future of African nowcasting [PDF]
, 2021 Nowcasting (weather forecasting predictions from zero to several hours) has enormous value and potential in Africa, where populations and economic activity are highly vulnerable to rapidly changing weather conditions.
Chanzu, B +29 more
core +1 more source