A Methodology to Generate Integrated Land Cover Data for Land Surface Model by Improving Dempster-Shafer Theory by Anqi Huang, Runping Shen, Yeqing Li, Huimin Han, Wenli Di, Daniel Fiifi Tawia Hagan

“…Compared with the observations, the 0–10 cm soil moisture simulated by the CFLC in Noah–MP LSM during the growing season in 2014 had better performance than that simulated by initial land cover data and MODIS land cover data. …”
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Identification of storm surge vulnerable areas in the Philippines through the simulation of Typhoon Haiyan-induced storm surge levels over historical storm tracks by J. P. Lapidez, J. Tablazon, L. Dasallas, L. A. Gonzalo, K. M. Cabacaba, M. M. A. Ramos, J. K. Suarez, J. Santiago, A. M. F. Lagmay, V. Malano

“…The threat imposed by this kind of natural calamity compelled researchers of the Nationwide Operational Assessment of Hazards (Project NOAH) which is the flagship disaster mitigation program of the Department of Science and Technology (DOST) of the Philippine government to undertake a study to determine the vulnerability of all Philippine coastal communities to storm surges of the same magnitude as those generated by Haiyan. …”
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Africa between East and West: Searching for its own path. Book review of ‘La Russie face aux occidentaux en Afrique centrale: Pour un arrimage des Africains aux enjeux de puissance... by A. V. Nefedov

“…The book under review is a new research by Cameroonian scholar Francois Xavier Noah Edzimbi ‘Russia and the West in Central Africa: How African countries can adapt to the challenges of the post-bipolar era’ (‘La Russie face aux Occidentaux en Afrique centrale: Pour un arrimage des Africains aux enjeux de puissance post-bipolarite’), published in France in 2022. …”
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Reconstruction of droughts in India using multiple land-surface models (1951–2015) by V. Mishra, R. Shah, S. Azhar, H. Shah, P. Modi, R. Kumar

“…Here we reconstruct agricultural drought events over India during the period of 1951–2015 based on simulated soil moisture from three LSMs, the Variable Infiltration Capacity (VIC), the Noah, and the Community Land Model (CLM). Based on simulations from the three LSMs, we find that major drought events occurred in 1987, 2002, and 2015 during the monsoon season (June through September). …”
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An automated mammogram classification system using modified support vector machine by Kayode AA, Akande NO, Adegun AA, Adebiyi MO

“…Aderonke Anthonia Kayode,1 Noah Oluwatobi Akande,1 Adekanmi Adeyinka Adegun,1 Marion Olubunmi Adebiyi21Computer Science Department, Landmark University, Omu-Aran, Kwara State, Nigeria; 2Department of Computer and Information Sciences, Covenant University, Ota, Ogun State, NigeriaPurpose: Breast cancer remains a serious public health problem that results in the loss of lives among women. …”
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Assimilation of Cosmogenic Neutron Counts for Improved Soil Moisture Prediction in a Distributed Land Surface Model by Amol Patil, Benjamin Fersch, Harrie-Jan Hendricks Franssen, Harald Kunstmann, Harald Kunstmann

“…The current study uses the Ensemble Adjustment Kalman Filter (EAKF) to assimilate neutron counts observed at four locations within a 655 km2 pre-alpine river catchment into the Noah-MP land surface model (LSM) to improve soil moisture simulations and to optimize model parameters. …”
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Monitoring Groundwater Variations from Satellite Gravimetry and Hydrological Models: A Comparison with in-situ Measurements in the Mid-Atlantic Region of the United States by Ruya Xiao, Xiufeng He, Yonglei Zhang, Vagner G. Ferreira, Liang Chang

“…The groundwater results from different combinations of GRACE products (from three institutions, CSR, GFZ and JPL) and GLDAS LSMs (CLM, NOAH and VIC) are compared and evaluated with in-situ measurements. …”
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Molecular probes for the identification of avian Haemoproteus and Leucocytozoon parasites in tissue sections by chromogenic in situ hybridization by Tanja Himmel, Josef Harl, Anna Kübber-Heiss, Cornelia Konicek, Nuhacet Fernández, Carles Juan-Sallés, Mikas Ilgūnas, Gediminas Valkiūnas, Herbert Weissenböck

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A meteo-hydrological modelling system for the reconstruction of river runoff: the case of the Ofanto river catchment by G. Verri, N. Pinardi, N. Pinardi, D. Gochis, J. Tribbia, A. Navarra, G. Coppini, T. Vukicevic, T. Vukicevic

“…The modelling chain consists of the mesoscale meteorological model of the Weather Research and Forecasting (WRF), the land surface model NOAH-MP and the hydrology–hydraulics model WRF-Hydro. …”
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Lessons Learned From Modeling Irrigation From Field to Regional Scales by Xiaoyu Xu, Fei Chen, Michael Barlage, David Gochis, Shiguang Miao, Shuanghe Shen

“…This study incorporated a dynamic irrigation scheme into the Noah with multiparameterization land surface model and investigated three methods of determining crop growing season length by agriculture management data. …”
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NIMBUS study protocol: a single-centre feasibility study of non-invasive monitoring with bowel ultrasound in paediatric inflammatory bowel disease by R Mark Beattie, James John Ashton, Alison Evans, Amar Wahid, Martin Oliver Edwards, Zachary Green, Ella Mayberry

“…We aim to inform a larger scale randomised controlled trial using BUS.Methods and analysis This prospective observational feasibility study will be carried out over 24 months at the Noah’s Ark Children’s Hospital for Wales, Cardiff; with the endpoint recruitment of 50 participants. …”
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Comparison of Urban Heat Island Intensity Estimation Methods Using Urbanized WRF in Berlin, Germany by Julian Vogel, Afshin Afshari

“…The optimal model configuration combines the WRF Single Moment Five-Class (WSM5) microphysics scheme, the Bougeault–Lacarrère planetary boundary layer scheme, the eta similarity (Mellor–Yamada–Janjic) surface layer scheme, the Noah Multi-Parameterization land surface model, the Dudhia and Rapid Radiative Transfer Model (RRTM) radiation schemes, and the multi-layer UCM (including the building energy model). …”
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Evaluation of Spatial and Temporal Variations in the Difference between Soil and Air Temperatures on the Qinghai–Tibetan Plateau Using Reanalysis Data Products by Xiqiang Wang, Rensheng Chen

“…First, the performance of 4 widely used reanalysis data products (GLDAS-Noah, NCEP-R2, ERA5 and ERA5-land) in estimating Δ<i>T</i> on the QTP at soil depths of 0~7 or 0~10 cm was evaluated during the baseline period (1981–2010); the ERA5-land product was selected for subsequent analysis, because it yielded a better performance in estimating the annual and seasonal Δ<i>T</i> and finer spatial resolution than the other datasets. …”
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Long term soil moisture mapping over the Tibetan plateau using Special Sensor Microwave/Imager by R. van der Velde, M. S. Salama, T. Pellarin, M. Ofwono, Y. Ma, Z. Su

“…The agreement between retrievals and Noah simulations from the Global Land Data Assimilation System is investigated to further provide confidence in the reliability of SSM/I retrievals at the Plateau-scale. …”
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Assessing the effects of urban green landscape on urban thermal environment dynamic in a semiarid city by integrated use of airborne data, satellite imagery and land surface model by Kai Liu, Xueke Li, Shudong Wang, Xiaojie Gao

“…This study uses integrated Thermal Airborne Spectrographic Imager (TASI) data, Landsat TM/ETM and MODIS satellite imagery, and Noah land surface model output to investigate the effects of landscape pattern on the urban thermal environment across Shijiazhuang, China. …”
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A global 1‐km downscaled SMAP soil moisture product based on thermal inertia theory by Bin Fang, Venkat Lakshmi, Michael Cosh, Pang‐Wei Liu, Rajat Bindlish, Thomas J. Jackson

“…To overcome this limitation, a downscaling algorithm based on the thermal inertia theory–derived relationship between SM and temperature difference was developed using outputs from the Global Land Data Assimilation System–Noah Land Surface Model and the land long‐term data record–Advanced Very High Resolution Radiometer normalized difference vegetation index (NDVI) dataset and applied to the Aqua Moderate Resolution Imaging Spectroradiometer land surface temperature/NDVI data to produce a downscaled 1‐km Soil Moisture Active Passive (SMAP) radiometer daily SM product, respectively, at 6:00 a.m. and 6:00 p.m. on a global scale from 2015 to 2020. …”
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Triple Collocation of Ground-, Satellite- and Land Surface Model-Based Surface Soil Moisture Products in Oklahoma Part II: New Multi-Sensor Soil Moisture (MSSM) Product by Zhen Hong, Hernan A. Moreno, Laura V. Alvarez, Zhi Li, Yang Hong

“…Soil moisture information from multiple sources and resolutions, including the Soil Moisture Active Passive SMAP L3_SM_P_E (9 km, daily), the physically-based, land surface model (LSM) estimates from NLDAS_NOAH0125_H (1/8°, hourly), and the Oklahoma Mesonet ground sensor network (9 km interpolated from point, 30 min) is merged into a 9 km spatial and daily temporal resolution product across the state of Oklahoma from April 2015 to July 2019. …”
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Improving the Accuracy of Water Storage Anomaly Trends Based on a New Statistical Correction Hydrological Model Weighting Method by Qingqing Wang, Wei Zheng, Wenjie Yin, Guohua Kang, Gangqiang Zhang, Dasheng Zhang

“…Additionally, to verify the effect of the NSCHMW method, taking the Haihe River Basin (HRB) as an example, the spatiotemporal patterns of Terrestrial Water Storage Anomalies (TWSA) in HRB are analyzed through a comprehensive comparison of decadal trends (2003–2014) from GRACE and different hydrological models (Noah from GLDAS-2.1, VIC from GLDAS-2.1, CLSM from GLDAS-2.1, CLSM from GLDAS-2.0, WGHM, PCR-GLOBWB, and CLM-4.5). …”
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Impacts of Human Activities on the Variations in Terrestrial Water Storage of the Aral Sea Basin by Xuewen Yang, Ninglian Wang, Qian Liang, An’an Chen, Yuwei Wu

“…In this study, the variations in TWS anomalies (TWSA) of the Aral Sea Basin during the period of April 2002 to June 2017 were analyzed using Gravity Recovery and Climate Experiment (GRACE) data and the Global Land Data Assimilation System (GLDAS) Noah model outputs. The impacts of human activities on TWS variations were further quantified through the variations in TWS components and the comparison of TWS obtained from GRACE and GLDAS. …”
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Simulating the impacts of chronic ozone exposure on plant conductance and photosynthesis, and on the regional hydroclimate using WRF/Chem by Jialun Li, Alex Mahalov, Peter Hyde

“…The Noah-Multiparameterization land surface model in the Weather Research and Forecasting (WRF) with Chemistry (WRF/Chem) is modified to include the effects of chronic ozone exposure (COE) on plant conductance and photosynthesis (PCP) found from field experiments. …”
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