Results 141 to 150 of about 6,146 (210)

Crowdsourced biodiversity monitoring fills gaps in global plant trait mapping. [PDF]

Nat Commun
Lusk D, Wolf S, Svidzinska D, Dormann CF, Kattge J, Bruelheide H, Sabatini FM, Damasceno G, Moreno Martínez Á, Violle C, Hending D, Hähn GJA, Tabeni S, Phartyal S, Gonçalves F, Kreft H, Schmidt M, Chen H, Güler B, Dolezal J, Pielech R, Guido A, Dwyer C, Napoleone F, Willie J, Gasper AL, Macía MJ, Chytry M, Lenoir J, Thakur D, Dengler J, Świerszcz S, Altman J, Mucina L, Nerlekar AN, Kakinuma K, Rawat P, Stančić Z, Testolin R, Hatim MZ, Rodrigues F, Homeier J, Marques MCM, McCarthy JK, El-Sheikh MA, Korznikov K, Gerberding K, Kattenborn T.   +47 more
europepmc   +1 more source

A framework to evaluate and identify development requirements for land‐surface models at km‐scale resolution: Application to a semi‐arid and mountainous region

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This article provides a first evaluation of land‐surface models at the km‐scale resolutions at which they are used in weather and Earth‐system models. At these resolutions, the lateral transfers of water that organize landscapes play an important role in predicting evaporation correctly. Riparian processes and human water management for irrigation need
Jan Polcher, Julie Collignan, Juan Pablo Sierra Perez, Gabriele Arduini, Sophie Bastin, Martin Best, Aaron Boone, Manel Bravo, Francesca Covella, Jasper M. C. Denissen, Cenlin He, Simon Munier, Marc Prange, Elena Shevliakova   +13 more
wiley   +1 more source

Four decades of hydroclimate-driven change and ecological condition in a Baltic raised bog assessed with Landsat and RSEI. [PDF]

Sci Rep
Radosław C, Stanisław Ł, Michał J, Norbert S, Stanisław M.   +4 more
europepmc   +1 more source

Further development of adaptive parameter tuning in the numerical weather prediction models of Deutscher Wetterdienst

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The introduction of adaptive parameter tuning in the numerical weather prediction models of DWD in 2022 substantially improved the forecast quality of near‐surface variables like 2‐m temperature and 2‐m humidity. Since 2023, refinements and extensions, primarily affecting the surface evaporation and its diurnal cycle, have led to further advances ...
Günther Zängl
wiley   +1 more source

Regional forest stock volume mapping using GEDI-based interpolation, multi-source remote sensing, and a multi-level stacking ensemble model in complex terrain. [PDF]

Front Plant Sci
Li Z, Shu Q, Fu L, Wei R, Zhang Y, Zhang X, Meng S.   +6 more
europepmc   +1 more source

From Flybys to Sample Return: A Review of Space Probes and Robotic Sampling Technologies for Small Bodies

Journal of Field Robotics, EarlyView.
ABSTRACT As a crucial puzzle piece of deep space exploration, exploring small bodies can provide significant scientific insights and valuable mineral resources. Unlike missions to the Moon and Mars, small‐body missions pose distinct technical challenges, including communication delays, weak gravity, and uncertain environments. This paper reviews a full
Xin Zhang, Hao Zhou, Dalin Zhou, Zhaojie Ju   +3 more
wiley   +1 more source

Enhancing Spatiotemporal Resolution of MCCA SMAP Soil Moisture Products over China: A Comparative Study of Machine Learning-Based Downscaling Approaches. [PDF]

Sensors (Basel)
Ma Z, Chen P, Chen H, Liu H, Zhang Y, Huang B, Hong Y, Sun S.   +7 more
europepmc   +1 more source

Formation Control With Obstacle Avoidance of Underwater Swarms Based on Relative Visual Feedback

Journal of Field Robotics, EarlyView.
ABSTRACT Underwater multi‐robot and swarm systems require advanced methodologies for controlling collective behavior. Conventional single‐robot techniques, such as tethering, sonar imaging, and acoustic localization, are not scalable or effective for swarm applications.
Andrea Infanti, Saverio Iacoponi, Saif Alameri, Mohamed El Hanbaly, Mohammed Tarnini, Cesare Stefanini, Giulia De Masi, Federico Renda   +7 more
wiley   +1 more source

Canada1Water digital terrain model with bathymetry dataset. [PDF]

Data Brief
Kessel ED, Frey SK, Russell HAJ.
europepmc   +1 more source

Dumpsite Seabed Characterization of the San Pedro Basin, CA, From Autonomous Vehicle Observations

Journal of Field Robotics, EarlyView.
ABSTRACT A wide‐area seabed survey was conducted using autonomous underwater vehicles (AUVs) in a known dumpsite off the coast of Southern California that has been found to have widespread sediment contamination from the chemical dichlorodiphenyltrichloroethane (DDT).
Ryan A. McCarthy, Dylan Kriegman, Sophia T. Merrifield, Heidi Batchelor, Eric J. Terrill   +4 more
wiley   +1 more source