平流层和中间层的纬向风在大气动力学和航空学中起着重要的作用。然而，在这个高度范围内直接测量风是困难的。本数据集利用梯度平衡风理论和SABER仪器观测到的温度和气压，建立了2002-2019年海拔18-100 km、纬度50°S-50°N的月平均纬向风数据集。赤道80公里以上的潮汐别名由流星雷达在0.2°S测得的月平均纬向风代替。该数据集(名为BU)通过与MERRA2 (MerU)、UARP (UraU)、HWM14经验模型(HwmU)、流星雷达(MetU)和激光雷达(LidU)在约50°N至29.7°S 7个站点的纬向风进行比较来验证。全球BU数据集的优势在于其大的垂直范围(从平流层到下层热层)和18年内部一致的时间序列(2002-2019)。BU的数据对于研究50°S-50°N范围内从季节到几十年的时间变化是有用的。它也可以作为大气波传播的背景风。", "ds_source": "
利用TIMED卫星上搭载的SABER探测器测量。", "ds_process_way": "
通过两个步骤执行导出BU。第一步是推导纬向平均温度和气压。SABER仪器测量的所有原始剖面均线性插值至18-108 km，垂直间距为1 km。接着，这些剖面被分成纬度带，宽度为5°，重叠为2.5°，从50°S延伸到50°N。在每个纬度带(φ)和高度带(z)，温度可以表示为T(tUT，λ) (λ为经度)。第二步利用动量方程在纬向上的纬向平均值计算梯度平衡风。", "ds_quality": "
数据质量良好。", "ds_acq_start_time": "2002-01-01 00:00:00", "ds_acq_end_time": "2019-12-31 00:00:00", "ds_acq_place": "全球", "ds_acq_lon_east": 180.0, "ds_acq_lat_south": -90.0, "ds_acq_lon_west": -180.0, "ds_acq_lat_north": 90.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 5322959, "ds_files_count": 2, "ds_format": "nc", "ds_space_res": "", "ds_time_res": "月", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "e95da802-ec16-46c2-85e0-628e01c26a1b.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "d2c052ce-d283-4a48-8962-6a3dbcb03b8e", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.15" ], "quality_level": 3, "publish_time": "2024-03-26 14:00:59", "last_updated": "2026-01-14 10:54:22", "protected": false, "protected_to": null, "lang": "zh", "cstr": "https://cstr.cn/14804.11.01.99.00574", "i18n": { "en": { "title": "Global Balanced Wind Derived from SABER Temperature and Pressure Observations and its Validations", "ds_format": "nc", "ds_source": "
Measure using the SABER detector carried on the TIMED satellite.", "ds_quality": "
The data quality is good.", "ds_ref_way": "", "ds_abstract": "
The meridional winds in the stratosphere and middle layer play an important role in atmospheric dynamics and aviation. However, directly measuring wind within this altitude range is difficult. This dataset utilizes gradient equilibrium wind theory and temperature and pressure observed by SABER instruments to establish a monthly average meridional wind dataset from 2002 to 2019, with an altitude of 18-100 km and latitude of 50 ° S-50 ° N. Tidal aliases above 80 kilometers of the equator are replaced by monthly average meridional winds measured by meteor radar at 0.2 ° S. This dataset (named BU) was validated by comparing the meridional winds with MERRA2 (MerU), UARP (UraU), HWM14 empirical model (HwmU), meteor radar (MetU), and lidar (LidU) at approximately 50 ° N to 29.7 ° S at 7 stations. The advantage of the global BU dataset lies in its large vertical range (from the stratosphere to the lower thermosphere) and consistent time series within 18 years (2002-2019). The data from BU is useful for studying the temporal variation from season to several decades within the range of 50 ° S-50 ° N. It can also serve as the background wind for atmospheric wave propagation.
", "ds_time_res": "月", "ds_acq_place": "Global", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Export BU in two steps. The first step is to derive the meridional average temperature and pressure. All raw profiles measured by SABER instrument were linearly interpolated to 18-108 km, with a vertical spacing of 1 km. Subsequently, these profiles were divided into latitude zones with a width of 5 ° and an overlap of 2.5 °, extending from 50 ° S to 50 ° N. At each latitude band（ φ) And with the height band (z), temperature can be expressed as T (tUT, λ) （ λ Is longitude. The second step is to use the momentum equation to calculate the gradient equilibrium wind based on the meridional mean value.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "doi_reg_from": "reg_outside", "cstr_reg_from": "reg_outside", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "平衡风", "中高层大气", "潮汐" ], "ds_subject_tags": [ "大气科学" ], "ds_class_tags": [], "ds_locus_tags": [ "全球" ], "ds_time_tags": [ 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019 ], "ds_contributors": [ { "true_name": "徐寄遥", "email": "jyxu@spaceweather.ac.cn", "work_for": "中国科学院国家空间科学中心", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "徐寄遥", "email": "jyxu@spaceweather.ac.cn", "work_for": "中国科学院国家空间科学中心", "country": "中国" } ], "ds_managers": [ { "true_name": "徐寄遥", "email": "jyxu@spaceweather.ac.cn", "work_for": "中国科学院国家空间科学中心", "country": "中国" } ], "category": "气象" }