Inter-model comparison of simulated Gulf of Mexico hypoxia in response to reduced nutrient loads: effects of phytoplankton and organic matter parameterization [0.03%]
叶绿素和有机物参数化方案对墨西哥湾缺氧模型模拟结果的影响及不同模型间比较研究
Brandon M Jarvis,James J Pauer,Wilson Melendez et al.
Brandon M Jarvis et al.
Complex simulation models are a valuable tool to inform nutrient management decisions aimed at reducing hypoxia in the northern Gulf of Mexico, yet simulated hypoxia response to reduced nutrients varies greatly between models. We compared t...
Modeling Lake Recovery Lag Times Following Influent Phosphorus Loading Reduction [0.03%]
模型研究削减入湖磷负荷后湖泊恢复滞后时间的问题分析
James N Carleton,Sylvia S Lee
James N Carleton
Internal feedback of nutrients may impede timely improvement in lake water quality. We describe a parsimonious, mechanistic framework for modeling lag times to recovery of phosphorus-enriched lakes, given decreases in external loading. The ...
An overview of the model integration process: From pre-integration assessment to testing [0.03%]
模型集成过程概述：从集成前评估到测试
Getachew F Belete,Alexey Voinov,Gerard F Laniak
Getachew F Belete
Integration of models requires linking models which can be developed using different tools, methodologies, and assumptions. We performed a literature review with the aim of improving our understanding of model integration process, and also ...
The impact of alternative nutrient kinetics and computational grid size on model predicted primary production and hypoxic area in the northern Gulf of Mexico [0.03%]
替代营养盐动力学及计算网格尺度对墨西哥北部湾初级生产力和低氧区模型预测的影响分析
James J Pauer,Wilson Melendez,Timothy J Feist et al.
James J Pauer et al.
Model structure uncertainty is seldom calculated because of the difficulty and time required to perform such analyses. Here we explore how a coastal model using the Monod versus Droop formulations and a 6 km × 6 km versus 2 km 2 × km comp...
An operational urban air quality model ENFUSER, based on dispersion modelling and data assimilation [0.03%]
基于扩散模型和数据同化的城市空气质量运行模型ENFUSER
Lasse Johansson,Ari Karppinen,Mona Kurppa et al.
Lasse Johansson et al.
An operational urban air quality modelling system ENFUSER is presented with an evaluation against measured data. ENFUSER combines several dispersion modelling approaches, uses data assimilation, and continuously extracts information from on...
DATimeS: A machine learning time series GUI toolbox for gap-filling and vegetation phenology trends detection [0.03%]
DATimeS：一种机器学习时间序列图形用户界面工具箱，用于填补数据空白和植被物候变化检测
Santiago Belda,Luca Pipia,Pablo Morcillo-Pallarés et al.
Santiago Belda et al.
Optical remotely sensed data are typically discontinuous, with missing values due to cloud cover. Consequently, gap-filling solutions are needed for accurate crop phenology characterization. The here presented Decomposition and Analysis of ...
Discrete Global Grid Systems as scalable geospatial frameworks for characterizing coastal environments [0.03%]
离散全球网格系统作为表征海岸环境的可扩展地理空间框架
Justin Bousquin
Justin Bousquin
Data portals and services have increased coastal water quality data availability and accessibility. However, tools to process this data are limited - geospatial frameworks at the land-sea interface are either adapted from open- water framew...
Catchment scale runoff time-series generation and validation using statistical models for the Continental United States [0.03%]
基于统计模型的美国本土流域日径流序列生成及检验方法研究
Douglas Patton,Deron Smith,Muluken E Muche et al.
Douglas Patton et al.
We developed statistical models to generate runoff time-series at National Hydrography Dataset Plus Version 2 (NHDPlusV2) catchment scale for the Continental United States (CONUS). The models use Normalized Difference Vegetation Index (NDVI...
Making spatial-temporal marine ecosystem modelling better - A perspective [0.03%]
使时空海洋生态系统模型更完善——一种视角
Jeroen Steenbeek,Joe Buszowski,David Chagaris et al.
Jeroen Steenbeek et al.
Marine Ecosystem Models (MEMs) provide a deeper understanding of marine ecosystem dynamics. The United Nations Decade of Ocean Science for Sustainable Development has highlighted the need to deploy these complex mechanistic spatial-temporal...
Uncertainty quantification in reconstruction of sparse water quality time series: Implications for watershed health and risk-based TMDL assessment [0.03%]
稀疏水质时间序列重建中的不确定性量化：流域健康与基于风险的TMDL评估的影响
Ganeshchandra Mallya,Abhinav Gupta,Mohamed M Hantush et al.
Ganeshchandra Mallya et al.
Despite the plethora of methods available for uncertainty quantification, their use has been limited in the practice of water quality (WQ) modeling. In this paper, a decision support tool (DST) that yields a continuous time series of WQ loa...