A5020433731- Meteorological Phenomena and Simulations
- Precipitation Measurement and Analysis
- Soil Moisture and Remote Sensing
- Climate variability and models
- Atmospheric aerosols and clouds
- Wind and Air Flow Studies
- Geophysics and Gravity Measurements
- Hydrological Forecasting Using AI
- Atmospheric chemistry and aerosols
- Radar Systems and Signal Processing
- Cryospheric studies and observations
- Ocean Waves and Remote Sensing
- Flood Risk Assessment and Management
- Oceanographic and Atmospheric Processes
- Radiative Heat Transfer Studies
- GNSS positioning and interference
- Soil Geostatistics and Mapping
- Solar Radiation and Photovoltaics
- Space exploration and regulation
- Scientific Computing and Data Management
- Remote-Sensing Image Classification
- Astronomical Observations and Instrumentation
- Ergonomics and Musculoskeletal Disorders
- Visual perception and processing mechanisms
- Energy Load and Power Forecasting
Environment and Climate Change Canada
2017-2025
Swedish Meteorological and Hydrological Institute
2000-2015
Swedish University of Agricultural Sciences
1996
Lund University
1994
Wintertime mixed-phase precipitation (P) impacts transportation, electric power grids, and homes. Forecasting winter such as freezing (ZP), rain (ZR), drizzle (ZL), ice pellets (IP), the snow (S) (R) boundary remains challenging due to complex cloud microphysical dynamical processes involved, which are difficult predict in current numerical weather prediction (NWP) models. Understanding these based on observations is crucial for improving NWP To aid this effort, Environment Climate Change...
Winter mixed-phase precipitation (P) impacts transportation, electric power grids, and homes. Forecasting winter such as freezing (ZP), rain (ZR), drizzle (ZL), ice pellets (IPs), the snow (S) (R) boundary remains challenging due to complex cloud microphysical dynamical processes involved, which are difficult predict with current numerical weather prediction (NWP) models. Understanding these based on observations is crucial for improving NWP To aid this effort, Environment Climate Change...
Abstract Weather radar analysis has become increasingly sophisticated over the past 50 years, and efforts to keep software up date have generally lagged behind needs of users. We argue that progress been impeded by fact not developed shared as a community. Recently, situation changing. In this paper, developers number open-source (OSS) projects highlight potential OSS advance radar-related research. community-based development holds reduce duplication create transparency in implemented...
A Doppler radar wind data assimilation system has been developed for the three-dimensional variational (3DVAR) scheme of High Resolution Limited Area Model (HIRLAM). Radar observations can be input multivariate HIRLAM 3DVAR either as radial superobservations (SOs) or vertical profiles horizontal obtained with velocity–azimuth display (VAD) technique. The handling system, including processing, quality control, and observation operators 3DVAR, are described evaluated. Background error standard...
Abstract We describe a method to remotely sense precipitation and classify its intensity over water, coasts land surfaces. This is intended be used in an operational nowcasting environment. It based on data obtained from the Advanced Microwave Sounding Unit (AMSU) onboard NOAA‐15. Each observation assigned probability of belonging four classes: precipitation‐free, risk precipitation, between 0.5 5 mm/h, higher than mm/h. Since designed work different surface types, it relies mainly...
The Baltic Sea Experiment (BALTEX) is one of the five continental-scale experiments Global Energy and Water Cycle (GEWEX). More than 50 research groups from 14 European countries are participating in this project to measure model energy water cycle over large drainage basin northern Europe. BALTEX aims provide a better understanding processes climate system improve validate regional numerical models for weather forecasting studies. A major effort undertaken couple interactively atmosphere...
Abstract Anomalous propagation (anaprop), analogous to the upper mirage in visual wavelengths, is still a major problem radar meteorology. This phenomenon assumes particular importance automatic recognition and estimation of rainfall. Anaprop echoes from terrain features such as hills coasts often give up 50–60 dBZ, equivalent heavy rain or hail severe thunderstorms. sea waves may be comparable strength those moderate precipitation also form similar patterns. Based on evidence that vertical...
Abstract This study reports on the progress toward operational weather radar data assimilation in Canada. As a first step, latent heat nudging (LHN) technique has been tested for period of 1 month. It is time that LHN used across North American continent, domain significantly larger than other studies. Other novel aspects this include use quality index associated with individual reflectivity measurements and discussion matching effective resolution modeled precipitation reduction...
BALTRAD software exchanges weather-radar data internationally, operationally, and in real-time, it processes the using a common toolbox of algorithms available to every node decentralized radar network. This approach enables each access process its own international meet local needs. The system is developed collaboratively by partnership, mostly comprising national Meteorological Hydrological institutes European Union's Baltic Sea Region. most important sub-systems are for exchange,...
Abstract During near-0°C surface conditions, diverse precipitation types (p-types) are possible, including rain, drizzle, freezing ice pellets, wet snow, and snow pellets. Near-0°C affects wide swaths of the United States Canada, impacting aviation, road transportation, power generation distribution, winter recreation, ecology, hydrology. Fundamental challenges remain in observing, diagnosing, simulating, forecasting p-types, particularly during transitions within complex terrain. Motivated...
Abstract A simple and pragmatic method utilising the difference between analysed near‐surface Meteosat IR temperatures (ΔT) is presented applied with aim of identifying removing non‐precipitation echoes in weather radar composite imagery. Despite inherent deficiencies these multisource data, such as lower spatial temporal resolutions relative to T demonstrated efficiently identify those areas void potentially precipitating clouds, remove them. set 243 manually composites from summer 2000 was...
Weather radar research has produced numerous radar-based rainfall estimators based on climate, intensity, a variety of ground-truthing instruments and sensors (e.g., rain gauges, disdrometers), techniques. Although each direction gives improvement, their collective application in an operational sense still yields uncertainty estimation at times. This study aims to explore the concept implementing Machine Learning (ML) models optimizing estimations bin level from group estimator. The Canadian...
Precipitation is one of the main components in water balance, and probably component determined with greatest uncertainties. In present paper we focus on precipitation (mainly rain) over Baltic Sea as a part BALTEX project to examine state art concerning different estimates that area. Several methods are used, 1) interpolation available synoptic stations; 2) mesoscale analysis system including synoptic, automatic, climate stations, well weather radar an atmospheric model; 3) measurements...
This paper describes the evaluation of a combined radar and passive microwave dataset obtained during PIDCAP study Baltic Sea Experiment (BALTEX), where three-dimensional volumes data from Gotland were timed according to overpasses DMSP-satellites F10 F13. Both satellites are equipped with Special Sensor Microwave/Imager (SSM/I), suitable for precipitation retrievals. We compare estimates, convolved native resolution SSM/I, at different altitudes polarization scattering indices ( S 85 )...