Results 141 to 150 of about 3,437,660 (362)

The ICOS OTC pCO2 instrument intercomparison

Limnology and Oceanography: Methods, EarlyView.
Abstract In 2021, the Ocean Thematic Centre of the European Research Infrastructure “Integrated Carbon Observation System” conducted an international partial pressure of carbon dioxide (pCO2) instrument intercomparison. The goal was to understand how different types of instrumentation for the measurement of ocean pCO2 compare to each other.
Tobias Steinhoff, Thanos Gkritzalis, Steve Jones, Vlad A. Macovei, Craig Neill, Ute Schuster, John Akl, Ricardo Arruda, Dariia Atamanchuk, Mark Barry, Laurence Beaumont, Carolina Cantoni, Andrew Dickson, Jana Fahning, Jac Fought, Constantin Frangoulis, Lucía Gutiérrez‐Loza, Clinton Hagan, Martti Honkanen, Sami Kielosto, Nadja Kinski, Arne Körtzinger, Peter Landschützer, Siv K. Lauvset, Noah Lawrence‐Slavas, Quanlong Li, Anna Luchetta, Damien Malarde, Melf Paulsen, Markus Ritschel, Anna Rutgersson, Richard Sanders, Kiminori Shitashima, Reggie Spaulding, Natalia Stamataki, Ken Stenbäck, Adrienne Sutton, Witold Tatkiewicz, Maciej Telszewski, Hannelore Theetaert, Bronte Tilbrook, Rik Wanninkhof   +41 more
wiley   +1 more source

Improving Precipitation Estimation Using Convolutional Neural Network [PDF]

, 2019
Precipitation process is generally considered to be poorly represented in numerical weather/climate models. Statistical downscaling (SD) methods, which relate precipitation with model resolved dynamics, often provide more accurate precipitation estimates
AghaKouchak, A, Hsu, K, Pan, B, Sorooshian, S   +3 more
core  

Three‐dimensional photogrammetry‐based monitoring to enhance site‐level carbonate budget assessments of coral reefs

Limnology and Oceanography: Methods, EarlyView.
Abstract Census‐based carbonate budget assessments synthesize metrics on biologically derived carbonate production and erosion rates to generate estimates of net carbonate production (NCP). ReefBudget is a widely used in‐water carbonate budget approach, but this methodology can be field‐intensive and logistically challenging, limiting spatial data ...
John T. Morris, Clinton B. Edwards, Alice Webb, Hannah Barkley, T. Shay Viehman, Ana Palacio‐Castro, Michaela Wong, Aliany Ramos‐Rosado, Heidi K. Hirsh, Nicole Besemer, Vid Petrovic, Chris T. Perry, Kayelyn R. Simmons, Ian C. Enochs   +13 more
wiley   +1 more source

Progress in Zinc Oxide‐Based Polymer Nanocomposites for Advancing Piezoelectric Energy Harvesting and Self‐Powered Devices

Macromolecular Materials and Engineering, EarlyView.
This review highlights synthesis routes, performance optimisation, and applications of fluoropolymers/ZnO nanocomposites, offering valuable insights into piezoelectricity optimisation of materials that empower next‐generation sensors, actuators, and sustainable energy solutions. ABSTRACT Piezoelectric materials convert mechanical energy into electrical
Daphne Mary John, Pratheep Kumar Annamalai, Alireza Hosseinmardi, Sreekanth Kaduvallil Mahadeva, Kothandaraman Ramanujam, Raghuram Chetty, Rajkumar Patel, Ramanujam Brahmadesam Thoopul Srinivasa Raghava, Ashok Kumar Nanjundan   +8 more
wiley   +1 more source

Climate Change and Adaptation on Karajarri Country and ‘Pukarrikarra’ Places [PDF]

, 2017
I am a Karajarri woman and one of the Traditional Owners of Karajarri Country. I come from Bidyadanga Aboriginal Community which is on Karajarri Country, approximately 190 km south of the township of Broome in the Kimberley region of Western Australia. I
Dwyer, Anna
core   +1 more source

Loss Adaptive Curriculum Learning for Ground-Based Cloud Detection

Remote Sensing
While deep learning has advanced object detection through hierarchical feature learning and end-to-end optimization, conventional random sampling paradigms exhibit critical limitations in addressing hyperspectral ambiguity and low-distinguishability ...
Tianhong Qi, Yanyan Hu, Juan Wang
doaj   +1 more source

Improved Regression Tree Models Using Generalization Error‐Based Splitting Criteria

Naval Research Logistics (NRL), EarlyView.
ABSTRACT Despite the widespread application of machine learning (ML) approaches such as the regression tree (RT) in the field of data‐driven optimization, overfitting may impair the effectiveness of ML models and thus hinder the deployment of ML for decision‐making.
Ying Yang, Shuaian Wang, Gilbert Laporte
wiley   +1 more source

E-portfolio MSC indicator for a virtual learning environment [PDF]

, 2017
This study was conducted to identify indicators for the use of e-portfolio for a virtual learning environment in the Malaysian Skills Certification (MSC) system. The approach is through a modified Delphi technique run in three stages.
Abd Baser, Jamil, Masran, Saiful Hadi, Nur Yunus, Faizal Amin, Rahim, Mohd Bekri, Ruhizan, M. Y.   +4 more
core  

Pollination biology and reproductive ecology of critically endangered endemic Campanula teucrioides in western Anatolia

Nordic Journal of Botany, EarlyView.
Campanula teucrioides Boiss. is a critically endangered species found in a single locality in western Turkey. Determining the population size of C. teucrioides and conducting reproductive biology studies are of great importance in determining the necessary strategy for the conservation of the species. The area where the plant distributed was determined
Volkan Eroğlu, Özcan Seçmen
wiley   +1 more source

Current research on aviation weather (bibliography), 1979 [PDF]

The titles, managers, supporting organizations, performing organizations, investigators and objectives of 127 current research projects in advanced meteorological instruments, forecasting, icing, lightning, visibility, low level wind shear, storm hazards/
Frost, W., Turkel, B. S.
core   +1 more source