Intercomparison case study of data-driven reconstructions of a cloud-obscured Saharan dust plume in Europe. [PDF]
Kanngießer F, Fiedler S.
europepmc +1 more source
How consistently do ensemble prediction systems represent the growth of atmospheric uncertainty?
Spread‐based diagnostics calculated for 12 ensemble prediction systems are compared to understand the consistency with which they represent atmospheric uncertainty growth. Good correlation between all these systems is found in the extratropics for a lead time range from 48 hr to between 96 hr and 192 hr.
Douglas Wood +3 more
wiley +1 more source
Stronger jet, weaker storms: a mechanistic perspective on the Atlantic-Pacific storm paradox. [PDF]
Hadas O, Kaspi Y.
europepmc +1 more source
Uncertainties in the representation of ice particle size distributions (PSDs) cause inaccuracies in parameterisations of clouds. In this study, observed PSDs from a midlatitude frontal case study are compared with gamma PSDs with the same concentration and ice water content.
Rosie M. Mammatt +3 more
wiley +1 more source
A hybrid approach for regionalization of precipitation based on maximal discrete wavelet transform and growing neural gas network clustering. [PDF]
Tao X, Ben M, Xuan HCY, Arshaghi A.
europepmc +1 more source
This study develops a method to identify the source areas of precipitation events, as illustrated for the western part of the Netherlands. Radar‐based precipitation data are traced back to their source areas and machine‐learning techniques are used to identify hypothesized causes: urban heat, surface roughness, and air pollution. We find that urban and
Jelmer van der Graaff +1 more
wiley +1 more source
Building a Standardized Cancer Synoptic Report With Semantic and Syntactic Interoperability: Development Study Using SNOMED CT and Fast Healthcare Interoperability Resources (FHIR). [PDF]
Hwang J +7 more
europepmc +1 more source
Daily time series of zonal‐mean zonal wind (m·s−1) at 10 hPa and 60° N from 1950 to 2021 from the ERA5 reanalysis. This shows huge variability in some seasons and very little in others. We provide evidence that high‐level observations, radiosonde and satellite, are more important during the extended winter season with its very large variability ...
Bruce Ingleby, Inna Polichtchouk
wiley +1 more source
Development of a machine learning model for automatic data extraction from breast cancer pathology reports. [PDF]
Kwok COT +6 more
europepmc +1 more source
NowPrecip 2: Precipitation nowcasting in the complex terrain of Switzerland. Part II: Verification
In this work we present the verification of the NowPrecip precipitation nowcasting systems (version 1 and version 2). Using 3.5 years of data over the period 2020–2023, their performance is compared with PySTEPS and the ICON numerical weather prediction ensemble by computing deterministic and probabilistic metrics.
A. Ntoumos +8 more
wiley +1 more source

