7 research outputs found
Intensity-dependent parameterization of elevation effects in precipitation analysis
Elevation effects in long-term (monthly to inter-annual) precipitation data have been widely studied and are taken into account in the regionalization of point-like precipitation amounts by using methods like external drift kriging and cokriging. On the daily or hourly time scale, precipitation-elevation gradients are more variable, and difficult to parameterize. For example, application of the annual relative precipitation-elevation gradient to each 12-h sub-period reproduces the annual total, but at the cost of a large root-mean-square error. If the precipitation-elevation gradient is parameterized as a function of precipitation rate, the error can be substantially reduced. It is shown that the form of the parameterization suggested by the observations conforms to what one would expect based on the physics of the orographic precipitation process (the seeder-feeder mechanism). At low precipitation rates, orographic precipitation is "conversion-limited", thus increasing roughly linearly with precipitation rate. At higher rates, orographic precipitation becomes "condensation-limited" thus leading to an additive rather than multiplicative orographic precipitation enhancement. Also it is found that for large elevation differences it becomes increasingly important to take into account those events where the mountain station receives precipitation but the valley station remains dry
INCA-CE: a Central European initiative in nowcasting severe weather and its applications
The INCA-CE (<b>I</b>ntegrated <b>N</b>owcasting through <b>C</b>omprehensive <b>A</b>nalysis – <b>C</b>entral
<b>E</b>urope) project aims at implementing a transnational weather information
system as well as applications for different socio-economic sectors to
reduce risks of major economic damage and loss of life caused by severe
weather. Civil protection and also stakeholders from economic sectors are in
a growing need of accurate and reliable short-term weather forecasts. Within
INCA-CE, a state-of-the art nowcasting system (INCA) is implemented at
weather services throughout the European Union's CE (Central Europe)
Programme Area, providing analyses and short term forecasts to the
aforementioned end-users. In a coherent approach, the INCA (Integrated
Nowcasting through Comprehensive Analysis) system will be adapted for
implementation and use in a number of partner countries. Within
transregional working groups, the gap between short-term weather information
and its downstream activities in hydrological disaster management, civil
protection and road management will be bridged and best practice management
and measure plans will be produced. A web-based platform for outreach to
related socio-economic sectors will initiate and foster a dialogue between
weather services and further stakeholders like tourism or the insurance
sector, flood authorities for disaster management, and the construction
industry for cost-efficient scheduling and planning. Furthermore, the
project will produce a compact guideline for policy makers on how to combine
structural development aspects with these new features. In the present
paper, an outline of the project implementation, a short overview about the
INCA system and two case studies on precipitation nowcasts will be given.
Moreover, directions for further developments both within the INCA system
and the INCA-CE project will be pointed out
Crowdsourcing of weather observations at national meteorological and hydrological services in Europe
National Meteorological and Hydrological Services (NMHSs) increase their
efforts to deliver impact-based weather forecasts and warnings. At the same
time, a desired increase in cost-efficiency prompts these services to
automatize their weather station networks and to reduce the number of human
observers, which leads to a lack of ground truth information about
weather phenomena and their impact. A possible alternative is to encourage
the general public to submit weather observations, which may include crucial
information especially in high-impact situations.
We wish to provide an overview of the state and properties of existing
collaborations between NMHSs and voluntary weather observers or storm
spotters across Europe. For that purpose, we performed a survey among
30 European NMHSs, from which 22 NMHSs returned our questionnaire. This study
summarizes the most important findings and evaluates the use of
crowdsourced information. 86 % of the surveyed NMHSs utilize
information provided by the general public, 50 % have established official
collaborations with spotter groups, and 18 % have formalized them. The
observations are most commonly used for a real-time improvement of severe
weather warnings, their verification, and an establishment of a climatology
of severe weather events.
The importance of these volunteered weather and impact observations has
strongly risen over the past decade. We expect that this trend will continue
and that storm spotters will become an essential part in severe weather
warning, like they have been for decades in the United States of America. A
rising number of incoming reports implies that quality management will
become an increasing issue, and we finally discuss an idea how to handle this challenge
Trusted Spotter Network Austria – a new standard to utilize crowdsourced weather and impact observations
Information from voluntary storm spotters has been an increasingly important
part for the severe weather warning process at the Zentralanstalt für
Meteorologie and Geodynamik (ZAMG), Austria's National Weather Service, for
almost 15 years. In 2010 a collaboration was formalized and an annual
training was established to educate voluntary observers into Trusted
Spotters. The return of this investment is a higher credibility of their
observations after these spotters have undergone a basic meteorological
training and have become aware of their responsibility.
The European Severe Storms Laboratory (ESSL) was included to this
collaboration to adopt their successful quality control system of severe
weather reports, which is employed in the European Severe Weather Database
ESWD. That way, reports from Trusted Spotters automatically obtain a higher
quality flag, which enables a faster processing by forecasters on duty for
severe weather warnings, when time is a critical issue. The concept of
combining training for voluntary storm spotters and a thorough quality
management was recognized as a Best Practice Model by the European
Meteorological Society.
We propose to apply this concept also in other European countries and
present its advancement into an even broader, pan-European approach. The
European Weather Observer app EWOB, recently released by ESSL, provides a
novel and easy-to-handle tool to submit weather and respective impact
observations. We promote its use to provide better data and information for
a further real-time improvement of severe weather warnings