We provide the first revealed preference estimates of the benefits of routine weather forecasts. The benefits come from how people use advance information to reduce mortality from heat and cold. Theoretically, more accurate forecasts reduce mortality if and only if mortality risk is convex in...

We provide the first revealed preference estimates of the benefits of routine weather forecasts. The benefits come from how people use advance information to reduce mortality from heat and cold. Theoretically, more accurate forecasts reduce mortality if and only if mortality risk is convex in...

We provide the first revealed preference estimates of the benefits of routine weather forecasts. The benefits come from how people use advance information to reduce mortality from heat and cold. Theoretically, more accurate forecasts reduce mortality if and only if mortality risk is convex in...

Climate change will further increase not only the frequency but also the intensity of extreme weather events. As a result, weather conditions favouring pneumonia occurrence - suddenly warmer weather during cold seasons - can increase due to higher meteorological variability which is also linked...

Climate change will further increase not only the frequency but also the intensity of extreme weather events. As a result, weather conditions favouring pneumonia occurrence - suddenly warmer weather during cold seasons - can increase due to higher meteorological variability which is also linked...

Key methodologies used for managing weather risks have relied on the assumption that climate is not changing and that the historic weather record is therefore representative of current risks. Anthropogenic climate change upends this assumption, effectively reducing the information available to...

Climate change increases weather variability, exacerbating agricultural risk in poor countries. Risk-averse farmers are unable to tailor their planting decisions to the coming season, and underinvest in profitable inputs. Accurate, long-range forecasts enable farmers to optimize for the season...

We provide the first revealed preference estimates of the benefits of routine weather forecasts. The benefits come from how people use advance information to reduce mortality from heat and cold. Theoretically, more accurate forecasts reduce mortality if and only if mortality risk is convex in...

This paper reviews methods that have been used to statistically measure the effect of climate on economic value, using historic data on weather, climate, economic activity and other variables. This has been an active area of research for several decades, with many recent developments and...

This paper reviews methods that have been used to statistically measure the effect of climate on economic value, using historic data on weather, climate, economic activity and other variables. This has been an active area of research for several decades, with many recent developments and...

Accurate and high-resolution snowfall and fresh snow forecasts are important for a range of economic sectors as well as for the safety of people and infrastructure, especially in mountainous regions. In this article a new hybrid statistical postprocessing method is proposed, which combines...

Accurate and high-resolution snowfall and fresh snow forecasts are important for a range of economic sectors as well as for the safety of people and infrastructure, especially in mountainous regions. In this article a new hybrid statistical postprocessing method is proposed, which combines...

Forecasting based pricing of Weather Derivatives (WDs) is a new approach in valuation of contingent claims on nontradable underlyings. Standard techniques are based on historical weather data. Forward-looking information such as meteorological forecasts or the implied market price of risk (MPR)...

The growing availability of free or inexpensive satellite imagery has inspired many researchers to investigate the use of earth observation data for monitoring economic activity around the world. One of the most popular earth observation data sets is the so-called nighttime lights from the...

Background & Objective: The most northern populations of two sand fly species (Phlebotomus mascittii and Phlebotomus neclectus) in the Carpathian Basin are known from Central Hungary. The most important limiting factor of the distribution of Phlebotomus species in the region is the annual...

The aim of this paper is to model the decisions of tourists and a monopolist firm when weather forecasts are available. Before deciding whether to go on holiday or not, but after the firm has decided and posted its price, tourists can look at weather forecasts. Our results show that the price...

The growing availability of free or inexpensive satellite imagery has inspired many researchers to investigate the use of earth observation data for monitoring economic activity around the world. One of the most popular earth observation data sets is the so-called nighttime lights from the...

The impact of climate change on the potential distribution of four Mediterranean pine species – Pinus brutia Ten., Pinus halepensis Mill., Pinus pinaster Aiton, and Pinus pinea L. – was studied by the Climate Envelope Model (CEM) to examine whether these species are suitable for the use as...

The importance and risk of emerging mosquito borne diseases is going to increase in the European temperate areas due to climate change. The present and upcoming climates of Transdanubia seem to be suitable for the main vector of Chikungunya virus, the Asian tiger mosquito, Aedes albopictus Skuse...

A Leishmaniasis az egyik legfontosabb, jelenleg gyorsan emelkedő esetszámot mutató, ízeltlábú vektorok által terjesztett betegségcsoport a Földön. A bántalmat okozó egysejtű paraziták átviteléért felelős lepkeszúnyog-fajok (Phlebotomus spp.) jelenlegi geográfiai...

In recent years we witnessed a rapid growth of weather derivatives market. These derivatives are used to hedge energy contracts and distribute weather risk. While most derivative markets are complete and contingent climes replications are standard procedure, this special market is incomplete,...

Regional climate models (RCMs) provide reliable climatic predictions for the next 90 years with high horizontal and temporal resolution. In the 21st century northward latitudinal and upward altitudinal shift of the distribution of plant species and phytogeographical units is expected. It is...

This work presents the conditioned upscaling procedure applied in the Po-FEWS system by Hydrology area of ARPA SIMC Emilia Romagna to select the rainfall daily scenarios which better fit seasonal meteorological forecasts. Seasonal meteorological forecast provides qualitatively useful information...

A TÁMOP „Fenntartható fejlődés, élhető régió, élhető települési táj” alprojektje négy tudományterület szakembereit fogta össze. Az eredmény három kötet, és bennük összesen negyvenhárom tanulmány. A Corvinus Egyetem négy karának, a Gazdálkodástudományi, a...

Forecasting based pricing of Weather Derivatives (WDs) is a new approach in valuation of contingent claims on nontradable underlyings. Standard techniques are based on historical weather data. Forward-looking information such as meteorological forecasts or the implied market price of risk (MPR)...

This paper reviews the status of weather and climate services in Europe and Central Asia (ECA).Worldwide, the accuracy and value of weather and climate services are rising, bringing great economic benefits. However, many National Meteorological and Hydrological Services (NMHSs) in Europe and...

Setting out from the database of Operophtera brumata, L. in between 1973 and 2000 due to the Light Trap Network in Hungary, we introduce a simple theta-logistic population dynamical model based on endogenous and exogenous factors, only. We create an indicator set from which we can choose some...

The development and performance of an electricity load-forecasting model, with meteorological parameters as forcing terms, is investigated. This study aims to answer the question of how to assess what a good forecast is and how it can be achieved. Econometric techniques including ordinary least...

Field experiments are conducted to collect observations of a particular meteorological condition or phenomena in order to enhance scientific understanding. In some cases, the decision to deploy costly data-collecting resources must be made ahead of time, when the presence of the sought after...

Climate change is one of the biggest environmental problems of the 21st century. The most sensitive indicators of the effects of the climatic changes are phenological processes of the biota. The effects of climate change which were observed the earliest are the remarkable changes in the...

We take a simple time-series approach to modeling and forecasting daily average temperature in U.S. cities, and we inquire systematically as to whether it may prove useful from the vantage point of participants in the weather derivatives market. The answer is, perhaps surprisingly, yes....