Loris Foresti - Publications, H-index & Citations

Loris Foresti

Royal Meteorological Institute of Belgium

19H指数

70论文数

1.5K被引数

收录论文 15

发表时间

ampycloud: an open-source algorithm to determine cloud base heights and sky coverage fractions from ceilometer data

ATMOSPHERIC MEASUREMENT TECHNIQUES

IF3.3

2024-08-27

OAAI

Vogt, Frederic P. A.; Foresti, Loris; Regenass, Daniel; Rethore, Sophie; Tarin Burriel, Nestor; Bibby, Mervyn; Juda, Przemyslaw; Balmelli, Simone; Hanselmann, Tobias; du Preez, Pieter; Furrer, Dirk

Learning about the vertical structure of radar reflectivity using hydrometeor classes and neural networks in the Swiss Alps

ATMOSPHERIC MEASUREMENT TECHNIQUES

IF3.3

2020-05-19

OAAI

van den Heuvel, Floor; Foresti, Loris; Gabella, Marco; Germann, Urs; Berne, Alexis

NowPrecip: localized precipitation nowcasting in the complex terrain of Switzerland

QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

IF2.9

2020-04-01

OAAI

Sideris, I. V.; Foresti, L.; Nerini, D.; Germann, U.

Using a 10-Year Radar Archive for Nowcasting Precipitation Growth and Decay: A Probabilistic Machine Learning Approach

WEATHER AND FORECASTING

IF3.1

2019-10-08

OAAI

Foresti, Loris; Sideris, Ioannis, V; Nerini, Daniele; Beusch, Lea; Germann, Urs

Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0)

GEOSCIENTIFIC MODEL DEVELOPMENT

IF4.9

2019-10-07

161

OAAI

Pulkkinen, Seppo; Nerini, Daniele; Hortal, Andres A. Perez; Velasco-Forero, Carlos; Seed, Alan; Germann, Urs; Foresti, Loris

A 10-year radar-based analysis of orographic precipitation growth and decay patterns over the Swiss Alpine region

QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

IF2.9

2018-10-28

PREAI

Foresti, Loris; Sideris, Ioannis Vasileios; Panziera, Luca; Nerini, Daniele; Germann, Urs

A non-stationary stochastic ensemble generator for radar rainfall fields based on the short-space Fourier transform

HYDROLOGY AND EARTH SYSTEM SCIENCES

IF5.8

2017-06-09

OAAI

Nerini, Daniele; Besic, Nikola; Sideris, Ioannis; Germann, Urs; Foresti, Loris

Exploring the potential of multivariate depth-damage and rainfall-damage models 探索多元深度破坏和降雨破坏模型的潜力

JOURNAL OF FLOOD RISK MANAGEMENT

IF3.5

2017-01-03

PREAI

Van Ootegem, L.; Van Herck, K.; Creten, T.; Verhofstadt, E.; Foresti, L.; Goudenhoofdt, E.; Reyniers, M.; Delobbe, L.; Tuyls, D. Murla; Willems, P.

Development and verification of a real-time stochastic precipitation nowcasting system for urban hydrology in Belgium

HYDROLOGY AND EARTH SYSTEM SCIENCES

IF5.8

2016-01-29

OAAI

Foresti, L.; Reyniers, M.; Seed, A.; Delobbe, L.

The effect of flow and orography on the spatial distribution of the very short-term predictability of rainfall from composite radar images

HYDROLOGY AND EARTH SYSTEM SCIENCES

IF5.8

2014-11-27

OAAI

Foresti, L.; Seed, A.

Shallow landslide's stochastic risk modelling based on the precipitation event of August 2005 in Switzerland: results and implications

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES

IF4.7

2013-12-09

OAAI

Nicolet, P.; Foresti, L.; Caspar, O.; Jaboyedoff, M.

Kernel-Based Mapping of Orographic Rainfall Enhancement in the Swiss Alps as Detected by Weather Radar

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

IF8.6

2012-08-01

PREAI

Foresti, Loris; Kanevski, Mikhail; Pozdnoukhov, Alexei

Spatial prediction of monthly wind speeds in complex terrain with adaptive general regression neural networks

INTERNATIONAL JOURNAL OF CLIMATOLOGY

IF2.8

2012-07-20

PREAI

Robert, Sylvain; Foresti, Loris; Kanevski, Mikhail

Learning wind fields with multiple kernels

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

IF3.6

2010-06-03

PREAI

Foresti, Loris; Tuia, Devis; Kanevski, Mikhail; Pozdnoukhov, Alexei

Data-driven topo-climatic mapping with machine learning methods

NATURAL HAZARDS

IF3.7

2009-01-16

OAAI

Pozdnoukhov, A.; Foresti, L.; Kanevski, M.

研究方向