**Overview** The purpose of the dataset is to provide preliminary filtered, averaged lidar data and standardize the data format of various datastreams from the buoy into NetCDF. The attached Lidar Buoy Data Dictionary provides further details on the various instruments mounted on the buoys, parameters measured by each instrument, and the frequency of data collection. **Data Quality** Standard filtering thresholds on the averaged data were applied and several data format issues of the raw data were streamlined to create a standardized NetCDF format data. **Uncertainty** The uncertainty of lidar data has not been analyzed, but it is not expected to deviate from instrument technical specifications.

**Overview** The purpose of this dataset is to provide preliminary filtered, averaged lidar data and standardize the data format of various data streams from the buoy into NetCDF. The attached Lidar Buoy Data Dictionary provides further details on the various instruments mounted on the buoys, parameters measured by each instrument, and the frequency of data collection. **Data Details** The lidar wind directions from the raw data were corrected by adding 180 degrees, due to a field error in connecting the Global Positioning System (GPS) leads to the lidar unit. **Data Quality** Standard filtering thresholds on the averaged data were applied and several data format issues of the raw data were streamlined to create a standardized NetCDF format data. **Uncertainty** The uncertainty of lidar data has not been analyzed, but it is not expected to deviate from instrument technical specifications.

**Overview** Deployment off the coast of Morro Bay, California **Data Details** Buoy Data Files name like: buoy.z06.00.20200929.000000.currents.csv buoy.z06.00.20200929.000000.gill.csv buoy.z06.00.20200929.000000.gps.csv buoy.z06.00.20200929.000000.pressure.csv buoy.z06.00.20200929.000000.rh.csv buoy.z06.00.20200929.000000.temperature.csv buoy.z06.00.20200929.000000.waves.csv GX5 data: buoy.z06.00.20200930.194800.gnss.bin buoy.z06.00.20200930.194800.imu.bin **Data Quality** More information to follow.

**Overview** This dataset compiles results from different model-based hindcasts and instruments that measure environmental variables at the location of the associated lidar buoys. This dataset complements the lidar buoy measurements by providing longer time histories of selected environmental parameters. The data were extracted from the closest grid point to the average lidar buoy position. The data were obtained from the public domain and references to the originators/owners are provided under each instrument.

**Overview** This collection provides spatiotemporally paired reanalysis and satellite data to supplement the lidar buoy observations during the California deployments. Point time series of observed and reanalysis data are provided, using inverse distance weighting to geolocate the reanalysis data to the buoy location. Gridded time series of reanalysis data are provided, covering the California coast and extending into the Pacific Ocean. Satellite data in the coastal California region are also provided. The reanalysis collection includes the Modern-Era Retrospective Analysis for Research and Applications version 2 (MERRA-2), the Climate Forecast System version 2 (CFSv2), the North American Regional Reanalysis (NARR), the European Centre for Medium-Range Weather Forecasts Reanalysis version 5 (ERA5), and the analysis system of the Rapid Refresh (RAP). The satellite data collection is that of Ribal and Young (2019). All datasets are publicly available with the sources provided in the References section. **Data Quality** The observations provided are the processed versions buoy/buoy.z06.a0 and buoy/lidar.z06.a0. In December 2020, the developers of MERRA-2 and ERA5 reported issues with some months covering the buoy deployment period related to warm sea surface temperature biases and assimilation of anomalous snow depth observations, respectively. This collection includes only the reprocessed versions of MERRA-2 and ERA5 that have addressed the issues.

**Overview** Deployment off the coast of Humboldt, California **Data Details** Buoy Data Files name like: buoy.z05.00.20200929.000000.currents.csv buoy.z05.00.20200929.000000.gill.csv buoy.z05.00.20200929.000000.gps.csv buoy.z05.00.20200929.000000.pressure.csv buoy.z05.00.20200929.000000.rh.csv buoy.z05.00.20200929.000000.temperature.csv buoy.z05.00.20200929.000000.waves.csv GX5 data: buoy.z05.00.20200930.194800.gnss.bin buoy.z05.00.20200930.194800.imu.bin **Data Quality** More information to follow.

**Overview** This is the data collected during the validation period. The buoy is scheduled to be deployed near Martha's Vinyard in mid-January 2020. Data collected from buoy instruments are contained in two files labeled “primary” and secondary.” Header information for these files can be found in the respective tabs in the Excel spreadsheet under Attachments. **Data Details** Add some documentation about buoy data files here.

**Overview** Deployment off the coast of Morro Bay, California. **Data Details** Windcube Data Files: lidar.z06.00.20200929.000000.gyro.7z lidar.z06.00.20200929.000000.rtd.7z lidar.z06.00.20200929.000000.sta.7z lidar.z06.00.20200929.000000.stdrtd.7z lidar.z06.00.20200929.000000.stdsta.7z The Windcube data is compressed via 7-zip: "sta" files are 10 minute averaged data. "rtd" files are ~1 second data. "gyro" files are buoy movement data. 7z is the new archive format, providing high compression ratio. The main features of 7z format: Open architecture High compression ratio Strong AES-256 encryption Ability of using any compression, conversion or encryption method Supporting files with sizes up to 16000000000 GB Unicode file names Solid compressing Archive headers compressing 7z has open architecture, so it can support any new compression methods. https://www.7-zip.org/7z.html **Data Quality** Additional meta data to follow. PNNL recommends adding 180 degrees to the lidar wind directions at Morro Bay, as there is a directional issue associated with GPS cables being swapped on the buoy during buoy commissioning. The 180 degrees offset is going to be very close to our final post-processed data, that will be uploaded at the end of the campaign in September or November 2021. Please email Alicia Gorton with any questions by clicking on her name under Contacts. (alicia.gorton@pnnl.gov)

**Overview** This collection provides spatiotemporally paired reanalysis and satellite data to supplement the lidar buoy observations during the California deployments. Point time series of observed and reanalysis data are provided, using inverse distance weighting to geolocate the reanalysis data to the buoy location. Gridded time series of reanalysis data are provided, covering the California coast and extending into the Pacific Ocean. Satellite data in the coastal California region are also provided. The reanalysis collection includes the Modern-Era Retrospective Analysis for Research and Applications version 2 (MERRA-2), the Climate Forecast System version 2 (CFSv2), the North American Regional Reanalysis (NARR), the European Centre for Medium-Range Weather Forecasts Reanalysis version 5 (ERA5), and the analysis system of the Rapid Refresh (RAP). The satellite data collection is that of Ribal and Young (2019). All datasets are publicly available with the sources provided in the References section. **Data Quality** The observations provided are the processed versions buoy/buoy.z05.a0 and buoy/lidar.z05.a0. In December 2020, the developers of MERRA-2 and ERA5 reported issues with some months covering the buoy deployment period related to warm sea surface temperature biases and assimilation of anomalous snow depth observations, respectively. This collection includes only the reprocessed versions of MERRA-2 and ERA5 that have addressed the issues.

이 데이터는 해양수산부에서 풍향풍속관측에 대한 정보를 제공하기 위해 수집한 데이터입니다.본 데이터의 주요 내용은 공간정보일련번호, 풍향풍속관측소아이디, 풍향풍속관측소구우편번호, 풍향풍속관측지점명, 풍향풍속관측위치위도1, 풍향풍속관측위치경도1, 풍향풍속관측고정점명, 풍향풍속관측행정구역시도, 풍향풍속관측소주소, 공간정보 데이터로 구성되어 있습니다.본 데이터는 풍향풍속관측 공간정보 확인을 통한 다양한 해양 행정 및 정책 업무를 위한 기초 자료로 활용될 수 있습니다.풍향풍속관측이란 바람이 불어오는 방향인 풍향과 바람의 빠르기인 풍속을 측정하는 기상관측을 의미합니다.본 데이터는 해양수산발전기본법 제32조 및 해양수산정보 공동이용 종합계획에 따라대국민 데이터 개방 확대 및 이용 촉진, 정책활용 지원 목표를 위해 수집, 관리되고 있는 데이터 입니다.