Results 121 to 130 of about 25,163 (249)

AI‐Based Regional Emulation for Kilometer‐Scale Dynamical Downscaling

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract An AI‐based Limited‐Area Model (LAM) is developed for dynamical downscaling over the Southern Great Plains and the southeastern United States, with strong generalization abilities under diverse boundary conditions. The model is trained using 0.25° ${}^{\circ}$, 3‐hourly ERA5 as forcings and CONUS404 as targets in 1980–2019, producing 4‐km ...
Yingkai Sha, Tracy Hertneky, Ethan D. Gutmann, Seth McGinnis, Rachel McCrary, Lulin Xue, David John Gagne II, Kathryn Newman, Andrew Newman   +8 more
wiley   +1 more source

Mass‐Conserving LSTM With Dual States for Streamflow Prediction: Separating Quickflow and Slow Storage

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract We introduce a Mass‐Conserving Long Short‐Term Memory with Dual States (MC‐LSTM‐DS) with the intention of separating short‐ and long‐term memory for predicting streamflow. It enforces water balance through a new partition gate on precipitation.
Saurabh Toraskar, M. Niranjannaik, Abhilash Singh, Kumar Gaurav   +3 more
wiley   +1 more source

Conus coromandelicus

, 2019
Published as part of Venkitesan, R., Barua, S. & Hafiz, Md., 2019, Contribution to the knowledge on Indian Marine Molluscs: Family Conidae, pp. 165-184 in Records of the Zoological Survey of India 119 (2) on page 172, DOI: 10.26515/rzsi/v119/i2/2019/144125, http://zenodo.org/record ...
Venkitesan, R., Barua, S., Hafiz, Md.
openaire   +1 more source

Developing an Object‐Based Climatology of Tornadic Storms Over the United States Using Machine Learning and Radar Reanalysis

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Tornado climatologies over the contiguous United States have traditionally relied on report‐based data sets, which are subject to biases related to population density, time of day, and evolving observational practices. This study presents an object‐based machine learning framework for constructing a tornado climatology using storm cluster data
Wenjun Cui, Kiel L. Ortega, Skylar S. Williams   +2 more
wiley   +1 more source

Does the Level of the Conus Medullaris Affect CSF Leak Incidence During Spinal Surgery?

Apollo Medicine
Background and Aims: This study examines whether the level of the conus medullaris affects the incidence of cerebrospinal fluid (CSF) leaks in spinal surgery. Material and Methods: Retrospective analysis was performed on 55 patients who had suffered from
Ronan Kennedy, Aiden Ali, Simon Hughes, Faizul Hassan, Rajesh Botchu   +4 more
doaj   +1 more source

Conus australis Holten 1802

, 2009
10. Conus australis Holten, 1802 (Figure 11) Conus australis Holten, 1802: 39, no. 87 (representation of lectotype, Chemnitz 1795: pl. 183, figs. 1774, 1775 (60 x 24 mm) (Kohn 1981); " Taiwan "). Conus australis Lamarck, 1810: 439, no.
Franklin, J. Benjamin, Krishnan, K. S., Fernando, S. Antony, Subramanian, K. A.   +3 more
core   +1 more source

Sediment Vulnerability Ranking for River Basins Across the Contiguous U.S. Using Integrated Biophysical and Social‐Ecological Data

JAWRA Journal of the American Water Resources Association, Volume 62, Issue 5, October 2026.
ABSTRACT Nearly half of streams and rivers in the United States (U.S.) have fair to poor conditions for aquatic ecosystem health as declared by the U.S. Environmental Protection Agency, and sediment was identified as a primary factor impairing these waterbodies.
Nicholas A. Sutfin, Allen C. Gellis, Nancy Baker, Christopher H. Conaway, Katherine J. Skalak   +4 more
wiley   +1 more source

Psychose et migration

, 2021
Abrahamyan Empson, Lilit, Marion-Veyron, Regis   +1 more
core   +1 more source

The Status Of Conus

, 2018
The status of the CONUS coherent reactor neutrino scattering experiment will be presented.
openaire   +2 more sources

Conus amadis Gmelin 1791

, 2009
4. Conus amadis Gmelin, 1791 (Figure 5) Conus amadis Gmelin, 1791: 3388, no. 32 (lectotype, ZMUC (78 x 41 mm) (Kohn 1966); "Rameswaram, India "). Conus amadis Hwass in Bruguière, 1792: 689–690, no. 78 (lectotype, MHNG (85 x 46 mm) (Kohn 1968); "aux
Franklin, J. Benjamin, Krishnan, K. S., Fernando, S. Antony, Subramanian, K. A.   +3 more
core   +1 more source