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1.
本文围绕GRACE数据在信号处理过程中存在泄露误差开展了探索性研究.第一,在传统尺度因子法的基础上,根据模型与CSR-SHc数据的均方根误差和相关性赋予权重,构建了新型尺度因子校正法.第二,以长江流域为例,评估该方法的校正效果,研究结果表明:新型尺度因子校正法校正结果综合GLDAS(Global Land Data A... 相似文献
2.
地下水储量的有效监测是实现区域水资源管理的重要依据,传统监测方法存在各自的局限性导致其实现较为困难.本文提供一种使用GRACE卫星重力数据与GLDAS水文模型数据反演得到安徽省区域地下水储量变化的方法.利用2002年4月-2017年6月不同机构GRACE卫星重力数据的综合解,经过DDK去相关光滑滤波与退卷积法分别消除或削弱南北条带误差、改正信号泄露反演得到安徽省陆地水储量变化,扣除由GLDAS水文模型数据获取的地表水储量变化,得到安徽省地下水储量变化时间序列,并结合国家统计局官方发布的安徽省地下水资源量进行初步验证分析.研究结果表明:安徽省地下水储量变化长期表现为波动下降趋势,其年变化率约为-5.35 mm·a-1,且呈现出自东南方向至西北方向逐次递减的显著空间差异;地下水储量表现出明显的季节性变化,夏季和冬季地下水储量呈现回升趋势,春季和秋季呈现出下降趋势.除去反演过程存在较大干扰因素的情况,反演结果与国家统计局官方数据的相关系数达到89.62%,因此本文反演得到的地下水储量变化的结果是相对可靠的. 相似文献
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利用GRACE月尺度变化的地球重力场反演了全球水储量变化,并与陆地水文资料、卫星测高资料及海洋模式得到的结果进行了比对.通过对SOURE台站重力变化的陆地水储量变化计算结果和GRACE重力场系数截断为15阶得到的结果比较,发现两者比较接近,且年周期变化特征明显.对于亚马逊流域,当重力场系数截断为15阶且平滑半径使用106 m时,GRACE反演的区域平均水储量厚度的周年变化振幅为15.6×10-2m,小于使用平滑半径为4×105m的23.7×10-2m.在研究长江流域时,本文对水文资料做球谐系数展开,并与GRACE数据做同样的截断和平滑处理,结果发现GRACE反演的水厚度变化与水文资料结果基本上符合.对于纬度±66°之间的海洋区域,GRACE反演的海水质量变化接近于结合卫星测高和海洋模式得到的结果,但对于2°×2°网格,则在一些区域差异明显,最大超过了0.2 m,中误差为3.8×10-2m.可见,当前GRACE卫星时变重力场只能确定出上千公里及以上尺度区域的水储量变化. 相似文献
4.
2002年3月成功发射的美德合作重力卫星计划GRACE(Gravity Recovery And Climate Experiment)已经开始提供阶次数达到120、时间分辨率为约1个月的地球重力场模型时变序列. GRACE的星座由两颗相距约220 km, 高度保持300~500 km, 而倾角保持约90°的近极轨卫星组成. 由于采用星载GPS和非保守力加速度计等高精度定轨技术以及高精度的星-星跟踪数据反演地球重力场, 在几百公里和更大空间尺度上, GRACE重力场的精度大大超过此前的卫星重力观测. 根据GRACE时变重力场反演的地球系统质量重新分布对固体地球物理、海洋物理、气候学以及大地测量等应用有重要的意义. 在长期时间尺度上, GRACE的结果可用于研究北极冰的变化, 并进而研究极冰融化对全球气候变化, 特别是对海平面长期变化的影响. 在季节性时间尺度上, 利用GRACE重力场的精度足以揭示平均小于1 cm的地表水变化或小于1 mbar的海底压强变化. 除了巨大的社会和经济效益外, 这些变化对了解地球系统的物质循环(主要是水循环)和能量循环有非常重要的意义. 利用2002年4月至2003年12月之间共15个月的GRACE时变重力场揭示了全球水储量的明显季节性变化, 并重点分析了中国长江流域水储量的变化. 结果表明长江流域水储量周年变化幅度可达到3.4 cm等效水高, 其最大值出现在春季和初秋. 根据GRACE时变重力场反演的水储量变化与两个目前最好的全球水文模型的符合相当好, 其差别小于1 cm等效水高. 研究表明现代空间重力测量技术在监测一些大流域的水储量变化(如长江流域)、全球水循环和气候变化上有巨大的应用潜力. 相似文献
5.
合理的随机模型是确定高精度卫星轨道的前提条件,目前广泛应用于地面观测数据的随机模型主要有高度角模型和载噪比模型,本文通过对GRACE卫星实测数据的分析表明上述随机模型均不能很好地描述GRACE卫星星载GPS观测值的噪声特点,为此,文中提出了扩展的高度角模型和扩展的载噪比随机模型.利用自主研发的精密定轨软件,分别采用高度角模型、扩展的高度角模型、载噪比模型、扩展的载噪比模型对GRACE卫星进行了轨道确定.数值结果表明:(1)高度角模型的运动学轨道径向精度为3.4 cm,扩展的高度角模型的为3.3 cm;(2)载噪比模型的运动学轨道径向精度为4.9 cm,扩展的载噪比模型的则为3.4 cm,精度提高了1.5 cm.经比较分析,文中提出的扩展的高度角模型和载噪比模型能更好地描述GRACE卫星观测值噪声特点,并能取得更高的卫星定轨精度. 相似文献
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基于卫星轨道运动的能量积分方程,可导出利用卫星跟踪卫星数据求解地球重力场的实用公式.本文在Jekeli给出的公式基础上导出了基于能量守恒方程利用两颗低-低卫星跟踪的扰动位差求解重力位系数的严密关系式.基于两颗GRACE卫星的观测数据,采用本文导出的严密能量积分方法求解得到120阶的GRACE地球重力场模型,命名为WHU-GM-05;将WHU-GM-05模型与国际上同类重力场模型EIGEN-GRACE系列和GGM02S分别在阶方差和大地水准面高等方面作了比较,并与美国和中国的部分地区GPS水准观测值进行了精度分析.结果表明基于本文推导的严密双星能量守恒方程得到的WHU-GM-05重力场模型精度与国际上同类重力场模型的精度相当. 相似文献
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准确恢复GRACE (Gravity Recovery and Climate Experiment)及其后续任务GRACE-FO (GRACE Follow-On)卫星观测的时变重力信号,对于揭示全球陆地海洋水量交换过程、监测区域水量收支平衡及预测局部旱涝灾害等具有重要科学意义. 尺度因子法作为恢复GRACE/GRACE-FO卫星观测信号中真实陆地水储量变化的一种常用手段,存在以下缺陷:不同水文模型推导出的尺度因子存在较大差异,缺乏一致性;即便在统一滤波处理条件下,传统方法往往未充分考虑GRACE/GRACE-FO数据中“条带”误差和高频信号的影响;滤波强度的选择具有主观性, 难以保证恢复结果的最优性与稳定性. 针对这些问题,我们提出了改进的尺度因子算法,主要包括:(1)引入贝叶斯三角帽方法,对多套水文模型加权融合,构建统一的融合后水文数据集,增强尺度因子的鲁棒性;(2)在水文模型滤波过程中考虑 “条带”误差和高频信号的影响,提升滤波后信号的保真度;(3)引入评价性指标体系,从DDK1—DDK7滤波范围中确定了DDK4为最佳滤波方案,并基于迭代思想构建了改进尺度因子. 改进尺度因子恢复的陆地水储量变化与CSR Mascon、JPL Mascon的结果吻合较好,相关系数分别为0.984和0.970,均方根误差分别为2.13 mm和3.54 mm. 在线性趋势、周年振幅及相位值的时空分布上,改进尺度因子恢复的陆地水储量变化与CSR Mascon、JPL Mascon的结果基本一致. 相似文献
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本文使用主成分分析在空间域提取GRACE重力场模型的等效水高,假设信号与噪声之间统计不相关,把由CSR、GFZ和JPL的GRACE重力场模型计算得到的等效水高值作为统计量,通过线性变换来分离信号和噪声.选择2007年3月份GRACE重力场模型作为实验,在直接分离没有取得预期结果后,对GRACE作半径为300km、400km和500km的高斯平滑,然后利用主成分分析得到了3个模式.结果显示,3种平滑半径下,主成分的第1模式的贡献率分别为79%、90%和93%.从主成分3个模式的统计结果以及等效水高图判断,第1模式对应于水文变化信号,其他2个模式为南北条带状噪声.由主成分的第1模式估算了CSR、GFZ和JPL的等效水高,与经验去相关方法进行了对比,结果较为一致.2010年12个月的结果显示,第1模式的贡献率不仅与平滑半径有关,而且与时间有关. 相似文献
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基于动力积分法恢复了一组60阶的时变重力场模型WHU-Grace01s,且在位系数解算过程中仅使用KBRR数据.通过与CSR、GFZ和JPL发布的Release 05模型的阶方差和位系数误差谱对比可知,WHU-Grace01s模型在高阶次部分的阶方差较小,且对轨道共振现象不敏感.将WHU-Grace01s时变重力场模型与CSR、GFZ、JPL、DEOS、Tongji、ITG、AIUB和GRGS等8家机构发布模型通过相同的滤波处理,获得了全球地表质量变化的时空分布,从结果可以看出:各个模型计算的时变信号在空域上分布十分接近,且WHU-Grace01s模型计算的太平洋中心和撒哈拉沙漠区域的质量变化较小;对比几个典型质量变化区域,WHU-Grace01s模型和JPL模型计算的长江流域和珠江流域时变信号呈强相关,其相关系数分别为0.948和0.976,且与上述8个模型计算的两个流域时变信号的相关系数均达到0.9以上;在南极区域和格陵兰岛,WHU-Grace01s模型和其他各个模型均能反映区域冰川质量的积累或消融,且各模型计算获得的长期趋势变化结果相当.研究结果表明,WHU-Grace01s模型和国内外已发布机构模型具有很好的一致性,且受到轨道共振影响较小. 相似文献
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水生植被作为太湖湿地的重要组分,其数量和范围变化影响着湖泊生态系统的平衡,故利用遥感技术对水生植被的空间分布开展研究有助于太湖湿地生态系统的保护.以Landsat 8多光谱遥感影像为主要数据源,利用光谱指数和图像变换方法构建多个特征变量,结合随机森林(RF)模型,提取太湖水生植被的空间分布.结果表明:(1)通过对比分析训练样本特征值的平均值、标准差和变异系数,NDVI、NDWIF、SR等指数更易于区分开敞水域和沉水植被、浮叶植被和挺水植被;(2)当设置1000棵分类树和4个分割节点的随机变量时,RF分类模型的袋外误分率小于6%,误分主要受SR、MNDWI和NDVI等特征变量影响;(3)通过验证分析,基于RF模型获得的2014年7月太湖水生植被覆盖面积约为306.0km2,分类精度为88.56%(Kappa系数为0.88),主要分布在湖体的东部和南部,以沉水和浮叶植被为主,两者占水生植被覆盖总面积的84.9%. 相似文献
11.
河西走廊由疏勒河流域、黑河流域和石羊河流域组成,水资源保护对河西走廊生态平衡和经济发展有着重要意义.本文利用JPL GRACE/GRACE-FO Mascon模型反演该区域陆地水储量的时空变化,结合GLDAS模型、实测地下水位和冰川水模型等数据对陆地水储量进行水平衡分析及时空特征变化分析,结果表明:(1)2002-04—2020-01间由于降水和冰川融水的补充,疏勒河流域南部和黑河大部分区域陆地水储量空间变化呈上升趋势,而蒸散消耗与农业扩张则导致疏勒河流域北部和石羊河流域陆地水储量下降;(2)通过水平衡研究发现人类耗水是疏勒河流域、黑河流域和石羊河流域陆地水储量变化的重要因素,平均贡献率分别为-24.49%、-47.20%和-43.29%;(3)河西走廊水资源治理政策的实施减少了农业灌溉耗水量、控制了耕地面积的扩张、抑制了地下水储量的消耗. 相似文献
12.
AbstractThe spatial and temporal variability of the scaling properties and correlation structure of a data set of rainfall time series, aggregated over different temporal resolutions, and observed in 70 raingauges across the Basilicata and Calabria regions of southern Italy, is investigated. Two types of random cascade model, namely canonical and microcanonical models, were used for each raingauge and selected season. For both models, different hypotheses concerning dependency of parameters on time scale and rainfall height can be adopted. In particular, a new approach is proposed which consists of several combinations of models with a different scale dependence of parameters for different temporal resolutions. The goal is to improve the modelling of the main features of rainfall time series, especially for cases where the variability of rainfall changes irregularly with temporal aggregation. The results obtained with the new methodology showed good agreement with the observed data, in particular, for the summer months. In fact, during this season, rainfall heights aggregated at fine temporal resolutions (from 5 to 20 min) are more similar (relative to the winter season) to the values cumulated on 1 or 3 h (due to convective phenomena) and, consequently, the process of rainfall breakdown is nearly stationary for a range of finer temporal resolutions. Editor D. Koutsoyiannis; Associate editor A. Montanari 相似文献
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Abstract During recent decades, intensive research has focused on techniques capable of generating rainfall time series at a fine time scale that are (fully or partially) consistent with a given series at a coarser time scale. Here we theoretically investigate the consequences on the ensemble statistical behaviour caused by the structure of a simple and widely-used approach of stochastic downscaling for rainfall time series, the discrete Multiplicative Random Cascade. We show that synthetic rainfall time series generated by these cascade models correspond to a stochastic process which is non-stationary, because its temporal autocorrelation structure depends on the position in time in an undesirable manner. Then, we propose and theoretically analyse an alternative downscaling approach based on the Hurst-Kolmogorov process, which is equally simple but is stationary. Finally, we provide Monte Carlo experiments which validate our theoretical results. Editor Z.W. Kundzewicz Citation Lombardo, F., Volpi, E., and Koutsoyiannis, D., 2012. Rainfall downscaling in time: theoretical and empirical comparison between multifractal and Hurst-Kolmogorov discrete random cascades. Hydrological Sciences Journal, 57 (6), 1052–1066. 相似文献
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Water storage depletion is an increasing hydrological threat to agricultural production and social stability across the globe. It is fast approaching threshold levels especially in arid/semiarid regions with low precipitation and excessive evapotranspiration (ET). This study analyses water storage dynamics in the North China Region (NCR) – an important grain‐production base in China. It uses monthly Gravity Recovery and Climate Experiment (GRACE), Global Land Data Assimilation System (GLDAS) and field‐measured precipitation data products for 2002–2009. The datasets are analysed in a basin‐scale water balance equation to determine the state of storage in the NCR study area. Based on the validated satellite‐based data products with field‐measured values, average error/bias in the datasets is <10%. The analysis also shows favourable agreements among the GRACE‐derived and flux‐based storage changes at various temporal scales. Whereas the amplitudes and phases of the precipitation and ET fluxes are largely stable for 2002–2009, those of GLDAS runoff and GRACE total water storage anomaly apparently narrow out. The linear trends in the monthly, seasonal and annual storage changes are negative for the study period, suggesting storage loss. There is an apparent seasonality of storage change in the study area; with summer storage gain, winter storage loss and an overall storage loss that is on the average of 16.8 mm/yr. Storage loss is most severe in the central floodplain region (the main irrigated production zone) of the study area. Storage depletion in this important agro‐based semi‐arid region could have negative implications for the millions of people in the region and beyond in terms of water supply, crop production, food security and social stability. Copyright © 2012 John Wiley & Sons, Ltd. 相似文献
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A statistical downscaling model, based on the outputs of general circulation models (GCMs) as predictors, was proposed to simulate the daily precipitations in the Shih‐Men reservoir catchment in Taiwan. The structure of the proposed downscaling model is composed of two parts: classification and regression. Predictors of classification and regression models were selected from the large‐scale weather variables in the National Centers for Environmental Prediction (NECP) reanalysis data based on statistical tests. Discriminant analysis and support vector regression (SVR) were applied to build the classification and regression models. The outputs of five atmosphere‐ocean GCMs, which are reported to have properly considered tropical cyclone information and East Asian Monsoon modelling, were used for projecting future precipitations. Data from four grids covering Taiwan were used for developing the downscaling model. The potential of the downscaling models in simulating local precipitations was evaluated, and downscaling results reveal that the proposed downscaling model can reproduce local daily precipitations from large‐scale weather variables. Projected local precipitations under two emission scenarios show that the precipitations in the study area tend to decrease. Copyright © 2010 John Wiley & Sons, Ltd. 相似文献
16.
利用22个月的GRACE时变重力场,反演了三峡水库补给水系的水储量变化,并按月给出了数值结果.与水文学同化模型(CPC)的两组比较说明基于GRACE重力的反演结果是合理的.当高斯平均半径为1000 km时,该区总水储量变化的峰谷差为14 cm,其年变化振幅为5.8 cm,相位为-40.8天,与CPC模型合成重力数据的反演结果进行比较,其总水储量变化均方差为1.3 cm,年变化振幅相差0.1 cm,相位相差1.0天.为进一步检验GRACE能否监测该区真实水储量变化,还将其反演结果与CPC模型的真实平均结果进行比较,结果发现总体均方差为2.1 cm,年变化振幅相差1.7 cm,相位相差9.3天.因此,第一种比较过高地估计了GRACE监测该区水储量变化的能力,第二种比较则较真实地反映了实际情况,尽管反演结果与水文学的结果差别较大,但仍然显示GRACE能监测该区每月的水储量变化. 相似文献
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在无真实观测值的情况下,本文利用广义三角帽方法评估了五种GRACE时变重力场模型(CSR、GFZ、GRGS、HUST发布的球谐系数解和JPL发布的Mascon解)反演中国大陆地区2003-2013年水储量变化的不确定性.研究结果表明,CSR、GFZ、JPL、HUST和GRGS反演月水储量变化不确定性的区域平均RMS分别为14.4 mm、26.3 mm、25.3 mm、26.6 mm和56.1 mm,其中GRGS的结果未恢复泄漏信号;在季和年尺度上,模型的不确定性均小于月尺度;扣除周期和趋势信号后,各模型反演结果更为一致.除长江流域外,CSR在13个流域的不确定性均小于其他模型,GRGS反演各流域水储量变化的不确定性通常较大,且可能高估了温带大陆性气候地区水储量的波动;CSR和JPL的不确定性受流域周边水文特征、气候类型、流域面积和形状的影响相对较小,不确定性变化范围分别为2.3~17.1 mm和5.6~22.5 mm,GFZ和HUST受影响较大,不确定性变化范围分别为5.5~35.1 mm和4.0~40.6 mm.本文的研究结果为GRACE产品不确定性评估提供了新的途径,为GRACE时变重力场模型的选取提供参考. 相似文献
18.
Climate change would significantly affect many hydrologic systems, which in turn would affect the water availability, runoff, and the flow in rivers. This study evaluates the impacts of possible future climate change scenarios on the hydrology of the catchment area of the Tunga–Bhadra River, upstream of the Tungabhadra dam. The Hydrologic Engineering Center's Hydrologic Modeling System version 3.4 (HEC‐HMS 3.4) is used for the hydrological modelling of the study area. Linear‐regression‐based Statistical DownScaling Model version 4.2 (SDSM 4.2) is used to downscale the daily maximum and minimum temperature, and daily precipitation in the four sub‐basins of the study area. The large‐scale climate variables for the A2 and B2 scenarios obtained from the Hadley Centre Coupled Model version 3 are used. After model calibration and testing of the downscaling procedure, the hydrological model is run for the three future periods: 2011–2040, 2041–2070, and 2071–2099. The impacts of climate change on the basin hydrology are assessed by comparing the present and future streamflow and the evapotranspiration estimates. Results of the water balance study suggest increasing precipitation and runoff and decreasing actual evapotranspiration losses over the sub‐basins in the study area. Copyright © 2012 John Wiley & Sons, Ltd. 相似文献
19.
ABSTRACTA rainfall–streamflow model is proposed, in which a downscaled rainfall series and its wavelet-based decomposed sub-series at optimum lags were used as covariates in GAMLSS (Generalized Additive Model in Location, Scale and Shape). GAMLSS is applied in climate change impact assessment using CMIP5 general climate model to simulate daily streamflow in three sub-catchments of the Onkaparinga catchment, South Australia. The Spearman correlation and Nash-Sutcliffe efficiency between the observed and median simulated streamflow values were high and comparable for both the calibration and validation periods for each sub-catchment. We show that the GAMLSS has the capability to capture non-stationarity in the rainfall–streamflow process. It was also observed that the use of wavelet-based decomposed rainfall sub-series with optimum lags as covariates in the GAMLSS model captures the underlying physics of the rainfall–streamflow process. The development and application of an empirical rainfall–streamflow model that can be used to assess the impact of catchment-scale climate change on streamflow is demonstrated. 相似文献
20.
One of the basic limitations to the use of geomorphological maps is their coarse resolution relative to the needs of pure and applied geomorphological research. In response to this, attempts have been made to ‘downscale’ geomorphological information to finer spatial resolutions. However, the potential of statistical downscaling in geomorphology has been insufficiently examined. We downscaled four different periglacial features (wind deflation, palsa mire, earth hummock and sorted solifluction sheet) from a 100 ha grid to a 1 ha grid resolution utilizing two different techniques: point sampling (PSA) and direct (DA) approaches. We assessed the predictive accuracy of the models with the area under the curve (AUC) of a receiver operating characteristic plot using independent evaluation data. The PSA technique yielded encouraging results with a mean accuracy of 0·81, whereas the performance of DA was poorer. The predictive performance of the palsa mire and solifluction sheet models was excellent (AUC values from 0·89 to 0·96), whereas the AUC values of deflation and earth hummock models were lower (AUC = 0·57–0·81). The application of a point sampling approach as used here provides an efficient method to translate geomorphological information to finer resolution. However, further testing of the downscaling approaches is required before they can be applied to real‐world situations. Copyright © 2007 John Wiley & Sons, Ltd. 相似文献
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