A Machine-Learning Method to Integrate Arctic Supersite Observations and Diagnose Weather Element Occurrence
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Machine-Learning Method to Integrate Arctic Supersite Observations and Diagnose Weather Element Occurrence
Authors
Keywords
-
Journal
ATMOSPHERE-OCEAN
Volume -, Issue -, Pages 1-16
Publisher
Informa UK Limited
Online
2023-09-21
DOI
10.1080/07055900.2023.2257651
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Validation of the final monthly Integrated Multi-satellitE Retrievals for GPM (IMERG) Version 05 and Version 06 with ground-based precipitation gauge measurements across the Canadian Arctic
- (2022) David Hudak et al. JOURNAL OF HYDROMETEOROLOGY
- Blizzard Conditions in the Canadian Arctic: Observations and Automated Products for Forecasting
- (2021) William R. Burrows et al. WEATHER AND FORECASTING
- A Multi-Year Evaluation of Doppler Lidar Wind-Profile Observations in the Arctic
- (2020) Zen Mariani et al. Remote Sensing
- The Canadian Arctic Weather Science Project: Introduction to the Iqaluit Site
- (2019) Paul Joe et al. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
- Multi-Instrument Observations of Prolonged Stratified Wind Layers at Iqaluit, Nunavut
- (2018) Zen Mariani et al. GEOPHYSICAL RESEARCH LETTERS
- A Review of Global Precipitation Data Sets: Data Sources, Estimation, and Intercomparisons
- (2018) Qiaohong Sun et al. REVIEWS OF GEOPHYSICS
- Ensemble lightning prediction models for the province of Alberta, Canada
- (2016) Karen D. Blouin et al. INTERNATIONAL JOURNAL OF WILDLAND FIRE
- The atmospheric role in the Arctic water cycle: A review on processes, past and future changes, and their impacts
- (2016) Timo Vihma et al. Journal of Geophysical Research-Biogeosciences
- A review of the remote sensing of lower tropospheric thermodynamic profiles and its indispensable role for the understanding and the simulation of water and energy cycles
- (2015) Volker Wulfmeyer et al. REVIEWS OF GEOPHYSICS
- Intercomparison of Solid Precipitation Derived from the Weighting Rain Gauge and Optical Instruments in the Interior Qinghai-Tibetan Plateau
- (2015) Lele Zhang et al. Advances in Meteorology
- Evaluation of the New Version of the Laser-Optical Disdrometer, OTT Parsivel2
- (2014) Ali Tokay et al. JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
- Investigation of Discrepancies in Satellite Rainfall Estimates over Ethiopia
- (2014) Matthew P. Young et al. JOURNAL OF HYDROMETEOROLOGY
- Staggered Vertical Discretization of the Canadian Environmental Multiscale (GEM) Model Using a Coordinate of the Log-Hydrostatic-Pressure Type
- (2013) Claude Girard et al. MONTHLY WEATHER REVIEW
- Random Forest classification of Mediterranean land cover using multi-seasonal imagery and multi-seasonal texture
- (2012) V.F. Rodriguez-Galiano et al. REMOTE SENSING OF ENVIRONMENT
- How Well Are We Measuring Snow: The NOAA/FAA/NCAR Winter Precipitation Test Bed
- (2011) Roy Rasmussen et al. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
- Doppler lidar measurements of oriented planar ice crystals falling from supercooled and glaciated layer clouds
- (2010) C. D. Westbrook et al. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
- PARSIVEL Snow Observations: A Critical Assessment
- (2009) Alessandro Battaglia et al. JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
- The physical basis for increases in precipitation extremes in simulations of 21st-century climate change
- (2009) P. A. O'Gorman et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Lidar-Based Estimation of Small-Scale Rainfall: Empirical Evidence
- (2008) Piotr A. Lewandowski et al. JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now