Results 31 to 40 of about 388 (206)

Multi-scale analysis of bias correction of soil moisture [PDF]

Hydrology and Earth System Sciences, 2015
Remote sensing, in situ networks and models are now providing unprecedented information for environmental monitoring. To conjunctively use multi-source data nominally representing an identical variable, one must resolve biases existing between these ...
C.-H. Su, D. Ryu
doaj   +1 more source

A Comparison of Various Correction and Blending Techniques for Creating an Improved Satellite-Gauge Rainfall Dataset over Australia

Remote Sensing, 2022
Satellites offer a way of estimating rainfall away from rain gauges which can be utilised to overcome the limitations imposed by gauge density on traditional rain gauge analyses.
Zhi-Weng Chua, Yuriy Kuleshov, Andrew B. Watkins, Suelynn Choy, Chayn Sun   +4 more
doaj   +1 more source

Proposing a new integration system: Tolerance Merged Collocation comparative to Modified and Scaled Triple Collocation and weighting scheme to integrate four indices

Geomatics, Natural Hazards & Risk
The absence of a global standard for drought assessment has led to inconsistencies in observational methods. This study explores recent advancements in merging techniques to enhance drought monitoring, develop more reliable indices, and introduce a ...
Zanib Badar, Jianyi Lin, Mohammed M. A. Almazah, Ijaz Hussain, Shreefa O. Hilali, A. Y. Al-Rezami, Abdulkareem M. Basheer   +6 more
doaj   +1 more source

On the accuracy of integrated water vapor observations and the potential for mitigating electromagnetic path delay error in InSAR [PDF]

Atmospheric Measurement Techniques, 2012
A field campaign was carried out in the framework of the Mitigation of Electromagnetic Transmission errors induced by Atmospheric Water Vapour Effects (METAWAVE) project sponsored by the European Space Agency (ESA) to investigate the accuracy of ...
D. Cimini, N. Pierdicca, E. Pichelli, R. Ferretti, V. Mattioli, S. Bonafoni, M. Montopoli, D. Perissin   +7 more
doaj   +1 more source

Triple collocation analysis of 4D wind observations

, 2023
This work was done in the framework of the EUMETSAT fellowship “On the 4-D Consistency of Satellite Wind Products for Regional NWP Data Assimilation (WIND-4D)”
Cossu, Federico, Portabella, Marcos, Lin, Wenming, Stoffelen, Ad, Vogelzang, Jur, Marseille, Gert-Jan, de Haan, Siebren   +6 more
openaire   +1 more source

RIPK3 Orchestrates Scar‐Associated Macrophage Dysfunction to Drive Pulmonary Fibrosis

Advanced Science, EarlyView.
Beyond signaling cell death, RIPK3 emerges as a critical metabolic regulator in pulmonary fibrosis. This research reveals that RIPK3 promotes PI3K‐AKT signaling in scar‐associated macrophages to fuel polyamine synthesis, independent of its kinase activity.
Tao Yang, Xiao Li, Shuyue Lei, Qingqing Li, Yi Zhang, Zhizhen Hui, Jinjin Ren, Xuelian Yang, Xiaoqian Yang, Chunlan Feng, Yousheng Xu, Dongxin Zhao, Wei Tang   +12 more
wiley   +1 more source

A multi-collocation method for coastal zone observations with applications to Sentinel-3A altimeter wave height data [PDF]

Ocean Science, 2019
In many coastal areas there is an increasing number and variety of observation data available, which are often very heterogeneous in their temporal and spatial sampling characteristics.
J. Schulz-Stellenfleth, J. Staneva
doaj   +1 more source

Assessment of SMAP and SMOS soil moisture products using triple collocation method over Inner Mongolia

Journal of Hydrology: Regional Studies, 2022
Soil moisture (SM) is an indispensable variable in drought monitoring and weather forecast. L-band is found to be the most suitable band for retrieving surface SM.
Fengmin Hu, Zushuai Wei, Xining Yang, Wenjun Xie, Yuanxi Li, Changlu Cui, Beibei Yang, Chongxin Tao, Wen Zhang, Lingkui Meng   +9 more
doaj   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Validation of Multiple Soil Moisture Products over an Intensive Agricultural Region: Overall Accuracy and Diverse Responses to Precipitation and Irrigation Events

Remote Sensing, 2022
Remote sensing and land surface models promote the understanding of soil moisture dynamics by means of multiple products. These products differ in data sources, algorithms, model structures and forcing datasets, complicating the selection of optimal ...
Xingwang Fan, Yanyu Lu, Yongwei Liu, Tingting Li, Shangpei Xun, Xiaosong Zhao   +5 more
doaj   +1 more source