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1

SOUKISSIAN, T. H., and A. M. PROSPATHOPOULOS. "The Errors-in-Variables approach for the validation of the WAM wave model in the Aegean Sea." Mediterranean Marine Science 7, no. 1 (2006): 47. http://dx.doi.org/10.12681/mms.177.

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In previous studies, wave fi elds from the 3rd-generation wave model WAM-Cycle 4 have been validated by using in situ buoy measurements in the Aegean Sea within the framework of the POSEIDON project; however, limitations of the data sets, concerning mainly the short distance of the buoys from the shore and the short length of the data, render those validation studies incomplete. In this work, signifi cant wave height forecasts obtained from WAM-Cycle 4 wave model are validated by means of TOPEX/Poseidon (T/P) data in specifi c offshore locations in the central part of the North Aegean Sea. The
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2

A. B. Bottcher, B. J. Whiteley, A. I. James, and J. G. Hiscock. "Watershed Assessment Model (WAM): Model Use, Calibration, and Validation." Transactions of the ASABE 55, no. 4 (2012): 1367–83. http://dx.doi.org/10.13031/2013.42248.

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3

Padilla-Hernández, R., W. Perrie, B. Toulany, and P. C. Smith. "Modeling of Two Northwest Atlantic Storms with Third-Generation Wave Models." Weather and Forecasting 22, no. 6 (2007): 1229–42. http://dx.doi.org/10.1175/2007waf2005104.1.

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Abstract In this study, three state-of-the-art operational forecast wave models are implemented on nested grids in order to achieve fine-resolution wave simulations (0.1°) in the Gulf of Maine and related northwest Atlantic waters. These models are the Simulating Waves Nearshore (SWAN) model, the Wave Action Model (WAM), and WAVEWATCH-III (hereafter WW3). Model performance is evaluated through comparisons with field measurements. Four composite model systems are compared: WAM and WW3 implemented on three nested domains, SWAN nested within WAM, and SWAN nested within WW3. Storm case studies inc
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4

Group, The Wamdi. "The WAM Model—A Third Generation Ocean Wave Prediction Model." Journal of Physical Oceanography 18, no. 12 (1988): 1775–810. http://dx.doi.org/10.1175/1520-0485(1988)018<1775:twmtgo>2.0.co;2.

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5

Bolaños, R., P. Osuna, J. Wolf, J. Monbaliu, and A. Sanchez-Arcilla. "Development of the POLCOMS–WAM current–wave model." Ocean Modelling 36, no. 1-2 (2011): 102–15. http://dx.doi.org/10.1016/j.ocemod.2010.10.004.

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6

de las Heras, M. M., G. Burgers, and P. A. E. M. Janssen. "Wave data assimilation in the WAM wave model." Journal of Marine Systems 6, no. 1-2 (1995): 77–85. http://dx.doi.org/10.1016/0924-7963(94)00019-8.

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7

Hasan, Mohammad Kamrul, Shayla Islam, Muhammad Shafiq, et al. "Communication Delay Modeling for Wide Area Measurement System in Smart Grid Internet of Things Networks." Wireless Communications and Mobile Computing 2021 (July 13, 2021): 1–10. http://dx.doi.org/10.1155/2021/9958003.

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We present communication frameworks, models, and protocols of smart grid Internet of Things (IoT) networks based on the IEEE and IEC standards. The measurement, control, and monitoring of grid being achieved through phasor measurement unit (PMU) based wide area measurement (WAM) framework. The WAM framework applied the IEEE standard C37.118 phasor exchange protocol to collect grid data from various substation devices. The existing frameworks include the IEC 61850 protocol and programmable logic controllers (PLCs) based supervisory control and data acquisition (SCADA) system. These protocols ha
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8

Monakov, A. A., and A. M. Mirolubov. "Compensation of Positioning Errors Caused by Tropospheric Wave Propagation in Wide-Area Multilateration Systems." Journal of the Russian Universities. Radioelectronics 23, no. 6 (2020): 59–69. http://dx.doi.org/10.32603/1993-8985-2020-23-6-59-69.

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Introduction. Wide area multilateration (WAM) systems are the main competitors of secondary surveillance radar (SSR) systems used in air traffic control (ATC). The general principle of WAM operation is based on the assessment of pseudoranges between a signal source (an aircraft airborne transponder) and the ground receivers with precisely known geographical coordinates deployed over the ATC area. The aircraft position is estimated by measuring pseudoranges. A significant factor affecting the accuracy of aircraft positioning is tropospheric refraction, a phenomenon caused by the inhomogeneity o
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9

Kebe, Ibourahima, Ismaila Diallo, Mouhamadou Bamba Sylla, Fernando De Sales, and Arona Diedhiou. "Late 21st Century Projected Changes in the Relationship between Precipitation, African Easterly Jet, and African Easterly Waves." Atmosphere 11, no. 4 (2020): 353. http://dx.doi.org/10.3390/atmos11040353.

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The present study utilizes three high-resolution simulations from the Regional Climate Model version 4 (RegCM4) to examine the late 21st century changes (2080–2099) in the West African Monsoon (WAM) features. A set of three Earth System Models are utilized to provide initial and lateral boundary conditions to the RegCM4 experiments. Our analysis focuses on seasonal mean changes in WAM large-scale dynamical features, along with their connections with the summer monsoon precipitation. In the historical period, the simulation ensemble means mimic reasonably well the intensity and spatial distribu
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10

Castañeda, J. Alberto, Francisco Muñoz-Leiva, and Teodoro Luque. "Web Acceptance Model (WAM): Moderating effects of user experience." Information & Management 44, no. 4 (2007): 384–96. http://dx.doi.org/10.1016/j.im.2007.02.003.

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11

Rajasekar, A., and H. Yusuf. "DWAM ? A WAM model extension for disjunctive logic programming." Annals of Mathematics and Artificial Intelligence 14, no. 2-4 (1995): 275–308. http://dx.doi.org/10.1007/bf01530824.

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12

Swain, J., PA Umesh, and AN Balchand. "WAM and WAVEWATCH-III intercomparison studies in the North Indian Ocean using Oceansat-2 Scatterometer winds." Journal of Ocean and Climate: Science, Technology and Impacts 9 (January 2019): 251601921986656. http://dx.doi.org/10.1177/2516019219866569.

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This paper presents the intercomparison of wave hindcasts using the third-generation models WAM and WAVEWATCH-III for the North Indian Ocean over 1° × 1° (latitude × longitude) grid resolutions, which reveals the first assessment of their relative performance through intercomparison of the model results. Hindcast wave parameters such as significant wave height, mean wave period, and swell wave height obtained from the simulations using Oceansat-2 scatterometer winds are analyzed to understand the quality and variability associated with the individual model outputs in the Indian Ocean. WAM and
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13

Alaka, Ghassan J., and Eric D. Maloney. "Internal Intraseasonal Variability of the West African Monsoon in WRF." Journal of Climate 30, no. 15 (2017): 5815–33. http://dx.doi.org/10.1175/jcli-d-16-0750.1.

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The West African monsoon (WAM) and its landmark features, which include African easterly waves (AEWs) and the African easterly jet (AEJ), exhibit significant intraseasonal variability in boreal summer. However, the degree to which this variability is modulated by external large-scale phenomena, such as the Madden–Julian oscillation (MJO), remains unclear. The Weather Research and Forecasting (WRF) Model is employed to diagnose the importance of the MJO and other external influences for the intraseasonal variability of the WAM and associated AEW energetics by removing 30–90-day signals from ini
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14

Lauer, Axel, Colin Jones, Veronika Eyring, et al. "Process-level improvements in CMIP5 models and their impact on tropical variability, the Southern Ocean, and monsoons." Earth System Dynamics 9, no. 1 (2018): 33–67. http://dx.doi.org/10.5194/esd-9-33-2018.

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Abstract. The performance of updated versions of the four earth system models (ESMs) CNRM, EC-Earth, HadGEM, and MPI-ESM is assessed in comparison to their predecessor versions used in Phase 5 of the Coupled Model Intercomparison Project. The Earth System Model Evaluation Tool (ESMValTool) is applied to evaluate selected climate phenomena in the models against observations. This is the first systematic application of the ESMValTool to assess and document the progress made during an extensive model development and improvement project. This study focuses on the South Asian monsoon (SAM) and the
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15

Joly, Mathieu, and Aurore Voldoire. "Influence of ENSO on the West African Monsoon: Temporal Aspects and Atmospheric Processes." Journal of Climate 22, no. 12 (2009): 3193–210. http://dx.doi.org/10.1175/2008jcli2450.1.

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Abstract A significant part of the West African monsoon (WAM) interannual variability can be explained by the remote influence of El Niño–Southern Oscillation (ENSO). Whereas the WAM occurs in the boreal summer, ENSO events generally peak in late autumn. Statistics show that, in the observations, the WAM is influenced either during the developing phase of ENSO or during the decay of some long-lasting La Niña events. The timing of ENSO thus seems essential to the teleconnection process. Composite maps for the developing ENSO illustrate the large-scale mechanisms of the teleconnection. The most
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16

Akmaev, R. A., F. Wu, T. J. Fuller-Rowell, and H. Wang. "Midnight temperature maximum (MTM) in Whole Atmosphere Model (WAM) simulations." Geophysical Research Letters 36, no. 7 (2009): n/a. http://dx.doi.org/10.1029/2009gl037759.

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17

Cavaleri, Luigi, Luciana Bertotti, and Piero Lionello. "Shallow water application of the third-generation WAM wave model." Journal of Geophysical Research 94, no. C6 (1989): 8111. http://dx.doi.org/10.1029/jc094ic06p08111.

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18

Johnson, H. K., H. J. Vested, Hans Hersbach, J. Højstrup, and S. E. Larsen. "The Coupling between Wind and Waves in the WAM Model." Journal of Atmospheric and Oceanic Technology 16, no. 11 (1999): 1780–90. http://dx.doi.org/10.1175/1520-0426(1999)016<1780:tcbwaw>2.0.co;2.

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19

Bao-shu, Yin, and Wang Tao. "A third generation shallow water wave numerical model-ye-wam." Chinese Journal of Oceanology and Limnology 14, no. 2 (1996): 106–12. http://dx.doi.org/10.1007/bf02850366.

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20

Panteleev, Gleb, Max Yaremchuk, and W. Erick Rogers. "Adjoint-Free Variational Data Assimilation into a Regional Wave Model." Journal of Atmospheric and Oceanic Technology 32, no. 7 (2015): 1386–99. http://dx.doi.org/10.1175/jtech-d-14-00174.1.

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AbstractA variational data assimilation algorithm is developed for the ocean wave prediction model [Wave Model (WAM)]. The algorithm employs the adjoint-free technique and was tested in a series of data assimilation experiments with synthetic observations in the Chukchi Sea region from various platforms. The types of considered observations are directional spectra estimated from point measurements by stationary buoys, significant wave height (SWH) observations by coastal high-frequency radars (HFRs) within a geographic sector, and SWH from satellite altimeter along a geographic track. Numerica
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21

Kuznetsova, Alexandra, Georgy Baydakov, Vladislav Papko, et al. "Adjusting of Wind Input Source Term in WAVEWATCH III Model for the Middle-Sized Water Body on the Basis of the Field Experiment." Advances in Meteorology 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/8539127.

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Adjusting of wind input source term in numerical model WAVEWATCH III for the middle-sized water body is reported. For this purpose, the field experiment on Gorky Reservoir is carried out. Surface waves are measured along with the parameters of the airflow. The measurement of wind speed in close proximity to the water surface is performed. On the basis of the experimental results, the parameterization of the drag coefficient depending on the 10 m wind speed is proposed. This parameterization is used in WAVEWATCH III for the adjusting of the wind input source term within WAM 3 and Tolman and Cha
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22

Leite, Adam. "Some Worries for Would-be mers." Grazer Philosophische Studien 69, no. 1 (2005): 101–26. http://dx.doi.org/10.1163/18756735-069001006.

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DeRose appeals to ordinary English usage to support his contextualist semantics for "know"-attributions. A common objection holds that though the relevant assertions are both appropriate and seemingly true, their seeming truth arises merely from their appropriateness. This Warranted Assertability Maneuver (WAM) aims to provide a stand-alone objection by providing a reason not to take the ordinary language data at face-value. However, there is no plausible model or mechanism for the pragmatic phenomena WAMmers must postulate. Given what the WAM requires, it is doubtful it could work out in deta
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23

Li, Delei, Joanna Staneva, Sebastian Grayek, Arno Behrens, Jianlong Feng, and Baoshu Yin. "Skill Assessment of an Atmosphere–Wave Regional Coupled Model over the East China Sea with a Focus on Typhoons." Atmosphere 11, no. 3 (2020): 252. http://dx.doi.org/10.3390/atmos11030252.

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This study performed several sensitivity experiments to investigate the impact of atmosphere–wave coupling on the simulated wind and waves over the East China Sea (ECS) with a focus on typhoon events. These experiments include stand-alone regional atmosphere model (CCLM) simulations, stand-alone spectral wave model (WAM) simulations driven by the regional atmospheric model CCLM or ERA5 reanalysis, and two-way (CCLM-WAM) coupled simulations. We assessed the simulated wind speed and significant wave height against in situ observations and remote sensing data and focused on typhoon events in 2010
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24

Huang, J., A. Adams, C. Wang, and C. Zhang. "Black Carbon and West African Monsoon precipitation: observations and simulations." Annales Geophysicae 27, no. 11 (2009): 4171–81. http://dx.doi.org/10.5194/angeo-27-4171-2009.

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Abstract. We have recently investigated large-scale co-variability between aerosol and precipitation and other meteorological variables in the West African Monsoon (WAM) region using long term satellite observations and reanalysis data. In this study we compared the observational results to a global model simulation including only direct radiative forcing of black carbon (BC). From both observations and model simulations we found that in boreal cold seasons anomalously high African aerosols are associated with significant reductions in cloud amount, cloud top height, and surface precipitation.
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25

Decharme, B., C. Ottlé, S. Saux-Picart, et al. "A New Land Surface Hydrology within the Noah-WRF Land-Atmosphere Mesoscale Model Applied to Semiarid Environment: Evaluation over the Dantiandou Kori (Niger)." Advances in Meteorology 2009 (2009): 1–13. http://dx.doi.org/10.1155/2009/731874.

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Land-atmosphere feedbacks, which are particularly important over the Sahel during the West African Monsoon (WAM), partly depend on a large range of processes linked to the land surface hydrology and the vegetation heterogeneities. This study focuses on the evaluation of a new land surface hydrology within the Noah-WRF land-atmosphere-coupled mesoscale model over the Sahel. This new hydrology explicitly takes account for the Dunne runoff using topographic information, the Horton runoff using a Green-Ampt approximation, and land surface heterogeneities. The previous and new versions of Noah-WRF
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26

CieÅ›likiewicz, Witold, Aleksandra Dudkowska, Roman Janowczyk, Vitalij Roščinski, Szymon Roziewski, and Jordan Badur. "WIND WAVE MODELLING OVER THE BALTIC SEA USING WAM MODEL AND THE COUPLED OCEAN CIRCULATION-WAVE POM MODEL." Coastal Engineering Proceedings, no. 34 (August 23, 2017): 42. http://dx.doi.org/10.9753/icce.v34.posters.42.

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This study presents a setup of the wind wave forecasting model WAM working over the Baltic Sea in operational mode. The work is a part of the PROZA project financed from the Polish Innovative Economy Programme and the European Regional Development Fund. The modelling results are verified against observations recorded with a directional waverider buoy. The results of the validation studies are presented in this paper. The agreement between the modelled and observed wave data obtained was quite a good. The model setup is part of the system allowing for operational decision-making based on atmosp
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27

Mazarakis, N., V. Kotroni, K. Lagouvardos, and L. Bertotti. "High-resolution wave model validation over the Greek maritime areas." Natural Hazards and Earth System Sciences 12, no. 11 (2012): 3433–40. http://dx.doi.org/10.5194/nhess-12-3433-2012.

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Abstract. The increasing maritime activity can be seriously affected by severe weather and sea conditions. To avoid serious damages to ships, marine structures and humans, a good weather and wave forecast is of primary importance. In general the meteorological and the wave models are used to produce forecasts at large scale like the global or the medium-size inner seas. For much smaller environments like the Greek maritime areas, characterized by complicated features like the orography and the presence of islands, the modelisation becomes a not simple task. This study is devoted to the validat
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28

Violante-Carvalho, Nelson. "On the retrieval of significant wave heights from spaceborne Synthetic Aperture Radar (ERS-SAR) using the Max-Planck Institut (MPI) algorithm." Anais da Academia Brasileira de Ciências 77, no. 4 (2005): 745–55. http://dx.doi.org/10.1590/s0001-37652005000400012.

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Synthetic Aperture Radar (SAR) onboard satellites is the only source of directional wave spectra with continuous and global coverage. Millions of SAR Wave Mode (SWM) imagettes have been acquired since the launch in the early 1990's of the first European Remote Sensing Satellite ERS-1 and its successors ERS-2 and ENVISAT, which has opened up many possibilities specially for wave data assimilation purposes. The main aim of data assimilation is to improve the forecasting introducing available observations into the modeling procedures in order to minimize the differences between model estimates an
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29

KORRES, G., A. PAPADOPOULOS, P. KATSAFADOS, D. BALLAS, L. PERIVOLIOTIS, and K. NITTIS. "A 2-year intercomparison of the WAM-Cycle4 and the WAVEWATCH-III wave models implemented within the Mediterranean Sea." Mediterranean Marine Science 12, no. 1 (2011): 129. http://dx.doi.org/10.12681/mms.57.

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In this work we present the implementation of a wave forecast/hindcast system for the Mediterranean Sea at a 1/10º horizontal resolution and we show a first assessment of its performance by inter-comparing model results to observational data time series at selected points for the period 2000-2001. The system which is part of the POSEIDON-II operational system includes the WAM – Cycle4 and the WAVEWATCH-III wave forecast models (implemented within the same region) one way coupled with the non-hydrostatic version of the ETA atmospheric model which provides at 3-hour intervals the necessary wind
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30

Henny, Henny, and H. R. Budiman. "Implementation lean manufacturing using Waste Assessment Model (WAM) in shoes company." IOP Conference Series: Materials Science and Engineering 407 (September 26, 2018): 012077. http://dx.doi.org/10.1088/1757-899x/407/1/012077.

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31

Monaldo, Frank M., and Robert C. Beal. "Comparison of SIR-C SAR wavenumber spectra with WAM model predictions." Journal of Geophysical Research: Oceans 103, no. C9 (1998): 18815–25. http://dx.doi.org/10.1029/98jc01457.

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32

Monbaliu, Jaak, Roberto Padilla-Hernández, Julia C. Hargreaves, et al. "The spectral wave model, WAM, adapted for applications with high spatial resolution." Coastal Engineering 41, no. 1-3 (2000): 41–62. http://dx.doi.org/10.1016/s0378-3839(00)00026-0.

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33

Hersbach, H. "Application of the adjoint of the WAM model to inverse wave modeling." Journal of Geophysical Research: Oceans 103, no. C5 (1998): 10469–87. http://dx.doi.org/10.1029/97jc03554.

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34

Hersbach, H., and P. A. E. M. Janssen. "Improvement of the Short-Fetch Behavior in the Wave Ocean Model (WAM)." Journal of Atmospheric and Oceanic Technology 16, no. 7 (1999): 884–92. http://dx.doi.org/10.1175/1520-0426(1999)016<0884:iotsfb>2.0.co;2.

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35

van der Ent, R. J., O. A. Tuinenburg, H. R. Knoche, H. Kunstmann, and H. H. G. Savenije. "Should we use a simple or complex model for moisture recycling and atmospheric moisture tracking?" Hydrology and Earth System Sciences 17, no. 12 (2013): 4869–84. http://dx.doi.org/10.5194/hess-17-4869-2013.

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Abstract. This paper compares state-of-the-art atmospheric moisture tracking models. Such models are typically used to study the water component of coupled land and atmosphere models, in particular quantifying moisture recycling and the source-sink relations between evaporation and precipitation. There are several atmospheric moisture tracking methods in use. However, depending on the level of aggregation, the assumptions made and the level of detail, the performance of these methods may differ substantially. In this paper, we compare three methods. The RCM-tag method uses highly accurate 3-D
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van der Ent, R. J., O. A. Tuinenburg, H. R. Knoche, H. Kunstmann, and H. H. G. Savenije. "Should we use a simple or complex model for moisture recycling and atmospheric moisture tracking?" Hydrology and Earth System Sciences Discussions 10, no. 5 (2013): 6723–64. http://dx.doi.org/10.5194/hessd-10-6723-2013.

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Abstract. This paper compares three state-of-the-art atmospheric moisture tracking models. Such models are typically used to study the water component of coupled land and atmosphere models, in particular quantifying moisture recycling and the source-sink relations between evaporation and precipitation. However, there are several atmospheric moisture tracking methods being used in the literature, and depending on the level of aggregation, the assumptions made and the level of detail, the performance of these methods may differ substantially. In this paper, we compare three methods. The RCM-tag
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37

Catini, Francesca, Francesca Montagna, Leopoldo Franco, et al. "DEVELOPMENT OF A HIGH-RESOLUTION NEARSHORE WAVE FORECASTING/HINDCASTING SYSTEM FOR THE ITALIAN COASTS." Coastal Engineering Proceedings 1, no. 32 (2011): 37. http://dx.doi.org/10.9753/icce.v32.waves.37.

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This paper describes a research aimed at developing a high-resolution nearshore wave forecasting/hindcasting system for the Italian coasts. Data recorded by buoys located in shallow water are compared with hindcasted data. The model uses the results of the well-tested large scale meteorological forecasting system named 'Idro-meteo-mare' (SIMM) managed by ISPRA, the Italian Agency for the Environmental Protection and Research, as wind input for WAM and SWAN models. Two different approaches are used for the Adriatic and the Tyrrhenian/Ligurian Sea. In the first eastern basin two/three SWAN neste
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Cohen, C. E., S. G. Dawson, N. J. A. Theobald, and N. M. Desmond. "Primary care and the National Strategy for Sexual Health and HIV: an evaluation of one primary care trust." International Journal of STD & AIDS 17, no. 3 (2006): 189–92. http://dx.doi.org/10.1258/095646206775809268.

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Windsor, Ascot, Maidenhead (WAM) primary care trust (PCT) currently has no specialist sexual health services. We researched the level of sexual health service provision in WAM compared with targets set out in the National Strategy for Sexual Health and HIV and assessed support for level 2 service expansion. We found practices were already providing much of level 1 and parts of level 2 services. Gaps centred on male and asymptomatic female screening and sexual health promotion. Ten out of 22 practices expressed interest for service development within the PCT, but obstacles cited included lack o
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39

Berntell, Ellen, Qiong Zhang, Qiang Li, et al. "Mid-Pliocene West African Monsoon rainfall as simulated in the PlioMIP2 ensemble." Climate of the Past 17, no. 4 (2021): 1777–94. http://dx.doi.org/10.5194/cp-17-1777-2021.

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Abstract. The mid-Pliocene warm period (mPWP; ∼3.2 million years ago) is seen as the most recent time period characterized by a warm climate state, with similar to modern geography and ∼400 ppmv atmospheric CO2 concentration, and is therefore often considered an interesting analogue for near-future climate projections. Paleoenvironmental reconstructions indicate higher surface temperatures, decreasing tropical deserts, and a more humid climate in West Africa characterized by a strengthened West African Monsoon (WAM). Using model results from the second phase of the Pliocene Modelling Intercomp
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40

Subramanian, D. Venkata, and Angelina Geetha. "Application of Multi-Dimensional Metric Model, Database, and WAM for KM System Evaluation." International Journal of Knowledge Management 8, no. 4 (2012): 1–21. http://dx.doi.org/10.4018/jkm.2012100101.

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A Knowledge Management (KM) System plays a crucial role in every industry as well as in Higher Learning Institutions. Based on the earlier research works, the authors have identified the gaps, and challenges in order to develop a comprehensive KM System framework, Hybrid Evaluation method which are helpful to assess any given KM system. The primary goal of this research paper is to propose the methodology for ranking and rating of the KM system using Multi-dimensional Metric Model, Metric Database and Weighted Arithmetic Mean (WAM) method. This paper first provides the background for KM System
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41

Janssen, Peter A. E. M., Piero Lionello, Magnar Reistad, and Anthony Hollingsworth. "Hindcasts and data assimilation studies with the WAM model during the Seasat period." Journal of Geophysical Research 94, no. C1 (1989): 973. http://dx.doi.org/10.1029/jc094ic01p00973.

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42

Bauer, Eva, Susanne Hasselmann, Klaus Hasselmann, and Hans C. Graber. "Validation and assimilation of Seasat altimeter wave heights using the WAM wave model." Journal of Geophysical Research 97, no. C8 (1992): 12671. http://dx.doi.org/10.1029/92jc01056.

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43

Chenxi, Zhang, Ci Yungui, and Liu Bo. "Implementation of prolog databases and database operation builtins in the WAM-Plus model." Future Generation Computer Systems 6, no. 1 (1990): 3–9. http://dx.doi.org/10.1016/0167-739x(90)90003-v.

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44

Dong, Buwen, Rowan T. Sutton, Ellie Highwood, and Laura Wilcox. "The Impacts of European and Asian Anthropogenic Sulfur Dioxide Emissions on Sahel Rainfall." Journal of Climate 27, no. 18 (2014): 7000–7017. http://dx.doi.org/10.1175/jcli-d-13-00769.1.

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Abstract In this study, the atmospheric component of a state-of-the-art climate model [the Hadley Centre Global Environment Model, version 2–Earth System (HadGEM2-ES)] has been used to investigate the impacts of regional anthropogenic sulfur dioxide emissions on boreal summer Sahel rainfall. The study focuses on the transient response of the West African monsoon (WAM) to a sudden change in regional anthropogenic sulfur dioxide emissions, including land surface feedbacks but without sea surface temperature (SST) feedbacks. The response occurs in two distinct phases: 1) fast adjustment of the at
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45

Hannak, Lisa, Peter Knippertz, Andreas H. Fink, Anke Kniffka, and Gregor Pante. "Why Do Global Climate Models Struggle to Represent Low-Level Clouds in the West African Summer Monsoon?" Journal of Climate 30, no. 5 (2017): 1665–87. http://dx.doi.org/10.1175/jcli-d-16-0451.1.

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Abstract Climate models struggle to realistically represent the West African monsoon (WAM), which hinders reliable future projections and the development of adequate adaption measures. Low-level clouds over southern West Africa (5°–10°N, 8°W–8°E) during July–September are an integral part of the WAM through their effect on the surface energy balance and precipitation, but their representation in climate models has received little attention. Here 30 (20) years of output from 18 (8) models participating in phase 5 of the Coupled Model Intercomparison Project (Year of Tropical Convection) are use
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46

Wiese, Anne, Emil Stanev, Wolfgang Koch, Arno Behrens, Beate Geyer, and Joanna Staneva. "The Impact of the Two-Way Coupling between Wind Wave and Atmospheric Models on the Lower Atmosphere over the North Sea." Atmosphere 10, no. 7 (2019): 386. http://dx.doi.org/10.3390/atmos10070386.

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The effects of coupling between the atmospheric model of the Consortium for Small-Scale Modelling-Climate Limited-area Modelling (CCLM) and the wind wave model (WAM) on the lower atmosphere within the North Sea area are studied. Due to the two-way coupling between the models, the influences of wind waves and the atmosphere on each other can be determined. This two-way coupling between these models is enabled through the introduction of wave-induced drag into CCLM and updated winds into WAM. As a result of wave-induced drag, different atmospheric parameters are either directly or indirectly inf
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47

Inghilesi, R., F. Catini, G. Bellotti, L. Franco, A. Orasi, and S. Corsini. "Implementation and validation of a coastal forecasting system for wind waves in the Mediterranean Sea." Natural Hazards and Earth System Sciences 12, no. 2 (2012): 485–94. http://dx.doi.org/10.5194/nhess-12-485-2012.

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Abstract. A coastal forecasting system was implemented to provide wind wave forecasts over the whole Mediterranean Sea area, and with the added capability to focus on selected coastal areas. The goal of the system was to achieve a representation of the small-scale coastal processes influencing the propagation of waves towards the coasts. The system was based on a chain of nested wave models and adopted the WAve Model (WAM) to analyse the large-scale, deep-sea propagation of waves; and the Simulating WAves Nearshore (SWAN) to simulate waves in key coastal areas. Regional intermediate-scale WAM
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48

Zhao, C., X. Liu, L. R. Leung, and S. Hagos. "Radiative impact of mineral dust on monsoon precipitation variability over West Africa." Atmospheric Chemistry and Physics Discussions 10, no. 11 (2010): 27185–226. http://dx.doi.org/10.5194/acpd-10-27185-2010.

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Abstract. The radiative forcing of dust and its impact on precipitation over the West Africa monsoon (WAM) region is simulated using a coupled meteorology and aerosol/chemistry model (WRF-Chem). During the monsoon season, dust is a dominant contributor to aerosol optical depth (AOD) over West Africa. In the control simulation, on 24-h domain average, dust has a cooling effect (−6.11 W/m2) at the surface, a warming effect (6.94 W/m2) in the atmosphere, and a relatively small TOA forcing (0.83 W/m2). Dust modifies the surface energy budget and atmospheric diabatic heating and hence causes lower
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49

Zhao, C., X. Liu, L. Ruby Leung, and S. Hagos. "Radiative impact of mineral dust on monsoon precipitation variability over West Africa." Atmospheric Chemistry and Physics 11, no. 5 (2011): 1879–93. http://dx.doi.org/10.5194/acp-11-1879-2011.

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Abstract. The radiative forcing of dust and its impact on precipitation over the West Africa monsoon (WAM) region is simulated using a coupled meteorology and aerosol/chemistry model (WRF-Chem). During the monsoon season, dust is a dominant contributor to aerosol optical depth (AOD) over West Africa. In the control simulation, on 24-h domain average, dust has a cooling effect (−6.11 W m−2) at the surface, a warming effect (6.94 W m−2) in the atmosphere, and a relatively small TOA forcing (0.83 W m−2). Dust modifies the surface energy budget and atmospheric diabatic heating. As a result, atmosp
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50

Zheng, Weipeng, and Pascale Braconnot. "Characterization of Model Spread in PMIP2 Mid-Holocene Simulations of the African Monsoon." Journal of Climate 26, no. 4 (2013): 1192–210. http://dx.doi.org/10.1175/jcli-d-12-00071.1.

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Abstract Simulations of the West African monsoon (WAM) for the present-day climate (0 ka) and the mid-Holocene (6 ka) using the coupled models from the Paleoclimate Modelling Intercomparison Project phase 2 (PMIP2) are assessed in this study. The authors first compare the ensemble simulations with modern observations and proxy estimates of past precipitation, showing that the PMIP2 model median captures the basic features of the WAM for 0 ka and the changes at 6 ka, despite systematic biases in the preindustrial (PI) simulations and underestimates of the northward extent and intensity of preci
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