DMS emission dataset (latitudes >45N)
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# README file for (sub)Arctic DMS emission dataset (latitudes >45N), v1.0.0<br> =========================================================================== Martí Galí Tàpias, 2019-06-12<br> http://orcid.org/0000-0002-5587-1271 Address requests for additional data and questions to:<br> marti.gali.tapias@gmail.com This dataset contains satellite-derived time series of:<br> * dmspt (sea-surface dimethylsulfoniopropionate -DMSPt- concentration, in µmol/m3 or equivalent nmol/L)<br> * dms (sea-surface dimethylsulfide -DMS- concentration, in µmol/m3 or equivalent nmol/L)<br> * fdms (sea-air DMS flux, in µmol/m2/d)<br> * ice concentration (0 to 1) The DMSPt dataset was produced as described by:<br> Galí, M., Devred, E., Levasseur, M., Royer, S. J., & Babin, M. (2015). A remote sensing algorithm for planktonic dimethylsulfoniopropionate (DMSP) and an analysis of global patterns. Remote Sensing of Environment, 171, 171-184. https://doi.org/10.1016/j.rse.2015.10.012 The DMS dataset was produced as described by: Galí, M., Devred, E., Babin, M., & Levasseur, M. (2019). Decadal increase in Arctic dimethylsulfide emission. Accepted in PNAS. doi:10.1073/pnas.1904378116. Galí, M., Levasseur, M., Devred, E., Simó, R., & Babin, M. (2018). Sea-surface dimethylsulfide (DMS) concentration from satellite data at global and regional scales. Biogeosciences, 15(11), 3497-3519. https://doi.org/10.5194/bg-15-3497-2018 Code for the DMSPt_SAT and DMS_SAT algorithms: https://github.com/mgali/DMS-SAT_ALGORITHM <br> ## File format MetCDF files are self-describing: they contain one “variable of interest” and all the corresponding temporal and geographic dimensions. ## File naming convention variable_sensorYYYY_nD_28km.nc Both the DMSPt and DMS satellite datasets are based on ocean color data obtained from NASA Ocean Color website. Chlorophyll was derived from the GSM algorithm, hence _gsm was appended to the variable names. DMSPt and DMS were produced for 2 satellite sensors.<br> * S = SeaWiFS, years 1998 to 2007<br> * A = MODIS-Aqua, years 2003 to 2016 (the last year is empty from October on) FDMS was calculated using ERA-Interim wind speed and SST, and ice cover from NSIDC. Two different gas exchange parameterizations were used, whose names are appended to the variable names:<br> * W97 (Woolf 1997)<br> * N00GBC (Nightingale et al. 2000 GBC –do not confound with Nightingale et al. 2000 GL) FDMS was also calculated using climatological DMS fields (W97 parameterization) while retaining the interannual variability of all the other variables involved in FDMS calculation:<br> * S19982007 DMS climatology<br> * A20032016 DMS climatology<br> * L11 DMS climatology (interpolation based climatology of Lana et al. 2011 GBC) Ice cover (ice) is also provided for the full period 1998-2016. ## Directory naming convention Each directory is named using the names of variable it contains.
# （亚）北极二甲基硫（DMS）排放数据集（纬度>45°N）v1.0.0 说明文档<br>===========================================================================<br>马蒂·加利·塔皮亚斯（Martí Galí Tàpias），2019年6月12日<br>http://orcid.org/0000-0002-5587-1271<br>如需获取额外数据或咨询相关问题，请联系：marti.gali.tapias@gmail.com<br><br>本数据集包含卫星反演得到的时间序列数据，具体包括：<br>* dmspt：海表二甲基巯基丙酸内盐（dimethylsulfoniopropionate, DMSPt）浓度，单位为µmol/m³或等效的nmol/L<br>* dms：海表二甲基硫（dimethylsulfide, DMS）浓度，单位为µmol/m³或等效的nmol/L<br>* fdms：海-气二甲基硫通量，单位为µmol/m²/d<br>* 海冰浓度（取值范围0至1）<br><br>## DMSPt数据集生成方法<br>DMSPt数据集的生成遵循以下文献方法：<br>Galí, M., Devred, E., Levasseur, M., Royer, S. J., & Babin, M. (2015). 浮游植物源性二甲基巯基丙酸内盐（DMSP）遥感反演算法及全球分布格局分析. 《环境遥感》（Remote Sensing of Environment）, 171, 171-184. https://doi.org/10.1016/j.rse.2015.10.012<br><br>## DMS数据集生成方法<br>DMS数据集的生成遵循以下文献方法：<br>1. Galí, M., Devred, E., Babin, M., & Levasseur, M. (2019). 北极二甲基硫排放的年代际增长. 已被《美国国家科学院院刊》（PNAS）接收. doi:10.1073/pnas.1904378116.<br>2. Galí, M., Levasseur, M., Devred, E., Simó, R., & Babin, M. (2018). 全球及区域尺度下基于卫星数据反演的海表二甲基硫（DMS）浓度. 《生物地球科学》（Biogeosciences）, 15(11), 3497-3519. https://doi.org/10.5194/bg-15-3497-2018<br><br>DMSPt_SAT与DMS_SAT算法的开源代码仓库：https://github.com/mgali/DMS-SAT_ALGORITHM<br><br>## 文件格式<br>NetCDF（后缀为.nc）文件具备自我描述性：每个文件包含一个目标变量及所有对应的时空地理维度信息。<br><br>## 文件命名规范<br>文件命名格式为：variable_sensorYYYY_nD_28km.nc<br><br>DMSPt及DMS卫星反演数据集基于NASA海洋色遥感网站获取的海洋水色数据生成。叶绿素浓度通过GSM算法反演得到，因此变量名后追加了_gsm后缀。<br><br>本数据集针对两款卫星传感器生成DMSPt与DMS数据：<br>* S = SeaWiFS传感器，覆盖时段为1998年至2007年<br>* A = MODIS-Aqua传感器，覆盖时段为2003年至2016年（2016年10月及之后的数据为空）<br><br>海-气二甲基硫通量（fdms）通过ERA-Interim再分析资料的风速与海表温度，以及NSIDC提供的海冰覆盖数据计算得到。共采用两种不同的气体交换参数化方案，方案名称将追加至变量名后：<br>* W97（Woolf 1997）<br>* N00GBC（Nightingale等人2000年GBC方案——注意勿与Nightingale等人2000年GL方案混淆）<br><br>此外，团队还基于气候态DMS场（采用W97参数化方案）计算了fdms，同时保留了fdms计算所需其他变量的年际变率：<br>* S19982007：基于SeaWiFS时段的DMS气候态数据<br>* A20032016：基于MODIS-Aqua时段的DMS气候态数据<br>* L11：基于Lana等人2011年GBC方法插值得到的DMS气候态数据<br><br>完整时段1998-2016的海冰覆盖数据（ice）亦随数据集一并提供。<br><br>## 目录命名规范<br>每个目录以其包含的变量名称命名。
