Meteorological Features at 6523 m of Mt.Qomolangma （Everest） between 1 May and 22 July 2005

Introduction Mt. Qomolangma (Everest) (27°54'N, 86°54'E) (Hereafter Mt. Qomolangma) lies between China and Nepal (Figure 1), and is the highest peak in the world, 8844.43 m asl (As promulgated by News Of-fice of the Chinese State Council in October 2005…     

1982-2009 年珠穆朗玛峰自然保护区植被指数变化

植被指数是指示植被变化的重要指标, 本研究基于1982-2009 年珠穆朗玛峰自然保护区(简称珠峰地区)植被指数(NDVI)时间序列数据、土地覆被和野外调查等数据, 采用时序变化趋势和空间分析法, 对珠穆朗玛峰地区植被的时空变化过程及保护区成效进行了定量分析。研究表明:①珠峰地区NDVI分布的总特征是南部和北部高, 中部低。②1982-2009 年珠峰地区NDVI年际变化趋势和空间异质性十分明显:1982-1997 年, 珠峰地区NDVI总体上呈显著上升趋势, 北部地区增幅较大;1998-2009 年, NDVI总体下降(56.96%的NDVI呈下降趋势), 其中, 珠峰地区中部和北部的NDVI下降最为明显, 而南部核心保护区森林和灌丛的NDVI则呈显著上升趋势, 且变化幅度较大。③长时间序列植被指数变化的过程和空间差异性推断:1998 年以来, 天然林保护等生态工程促使珠峰地区保护效果更加明显。     

1981-2001年珠穆朗玛峰自然保护区植被变化

Based on the NOAA AVHRR-NDVI data from 1981 to 2001, the digitalized China Vegetation Map （1：1,000,000）, DEM, temperature and precipitation data, and field investigation, the spatial patterns and vertical characteristics of natural vegetation changes and their influencing factors in the Mt. Qomolangma Nature Reserve have been studied. The results show that： （1） There is remarkable spatial difference of natural vegetation changes in the Mt. Qomolangma Nature Reserve and stability is the most common status. There are 5.04% of the whole area being seriously degraded, 13.19% slightly degraded, 26.39% slightly improved, 0.97% significantly improved and 54.41% keeping stable. The seriously and slightly degraded areas, which mostly lie in the south of the reserve, are along the national boundaries. The areas of improved vegetation lie in the north of the reserve and the south side of the Yarlung Zangbo River. The stable areas lie between the improved and degraded areas. Degradation decreases with elevation. （2） Degeneration in the Mt. Qomolangma Nature Reserve mostly affects shrubs, needle-leaved forests and mixed forests. （3） The temperature change affects the natural vegetation changes spatially while the integration of temperature changes, slopes and aspects affects the natural vegetation change along the altitude gradients. （4） It is the overuse of resources that leads to the vegetation degeneration in some parts of the Mt. Qomolangma Nature Reserve.     

珠穆朗玛峰地区新构造运动与环境地质灾害

研究区新构造运动强烈,环境地质灾害频繁,差异上升运动明显．除第四纪色龙盆地、定日盆地表现为相对下降外,其余均表现为上升,反映在环境地质灾害上,山洪、泥石流在雨季经常毁坏盆地内的公路。冰川后退形成的多达4级冰积埠阶地,佩枯错水面从67．9万年(P．B．)到12．6万年(P．B．)下降速率为0．021mm／a,从12．0万年(P．B．)到1．8万年(P．B．)下降速率为0．067mm／a,有加速下降的趋势,附近草地沙化严重,说明藏南面临十分严重的干旱形势,这可能与二氧化碳的过度排放、臭氧层变薄和温室效应等有关。雨季,第四纪盆地易发生洪流、泥石流等自然灾害;在珠穆朗玛峰和希夏邦马峰则容易产生雪崩。旅游、登山要避开7、8月份。     

Vegetation change in the Mt. Qomolangma Nature Reserve from 1981 to 2001

Based on the NOAA AVHRR-NDVI data from 1981 to 2001, the digitalized China Vegetation Map (1:1,000,000), DEM, temperature and precipitation data, and field investiga-tion, the spatial patterns and vertical characteristics of natural vegetation changes and their influencing factors in the Mt. Qomolangma Nature Reserve have been studied. The results show that: (1) There is remarkable spatial difference of natural vegetation changes in the Mt. Qomolangma Nature Reserve and stability is the most common status. There are 5.04% of the whole area being seriously degraded, 13.19% slightly degraded, 26.39% slightly im-proved, 0.97% significantly improved and 54.41% keeping stable. The seriously and slightly degraded areas, which mostly lie in the south of the reserve, are along the national bounda-ries. The areas of improved vegetation lie in the north of the reserve and the south side of the Yarlung Zangbo River. The stable areas lie between the improved and degraded areas. Degradation decreases with elevation. (2) Degeneration in the Mt. Qomolangma Nature Re-serve mostly affects shrubs, needle-leaved forests and mixed forests. (3) The temperature change affects the natural vegetation changes spatially while the integration of temperature changes, slopes and aspects affects the natural vegetation change along the altitude gradi-ents. (4) It is the overuse of resources that leads to the vegetation degeneration in some parts of the Mt. Qomolangma Nature Reserve.     

珠峰峰顶雪面高程和全球变暖

我国在1966年、1975年、1992年、1998年、1999年对珠穆朗玛峰高程进行了5次测定。对我国近35年来的珠峰高程测定的成果作了分析研究。对35年来所测定的珠峰顶雪面高程呈现持续性下降趋势和相对于全球高程系统的珠峰高程作了初步探讨。     

在板块边缘的冲撞地区重力场的求定

在陆地上，板块边的冲撞地区一般都是呈现地形复杂，地表和地下的质量分布不均衡、有强烈的地壳运动和构造运动，因此，该地区的重力场（重力异常、垂线偏差，大地水准面）变化剧烈。对它的归算和推估都需要作特殊的考虑。本文以位于欧亚板块和印度板块边缘冲撞地区的珠穆朗玛峰测区的重力场求定为例，进行讨论。     

Feasibility Comparison of Reanalysis Data from NCEP-Ⅰand NCEP-Ⅱ in the Himalayas

Mt. Everest is often referred to as the earth's 'third' pole. As such it is relatively inaccessible and little is known about its meteorology. In 2005, an automatic weather station was operated at North Col (28°01' 0.95" N, 86°57' 48.4" E, 6523 m a.s.l.) of Mt. Everest. Based on the observational data, this paper compares the reanalysis data from NCEP/NCAR (hereafter NCEP-Ⅰ) and NCEP-DOE AMIP-Ⅱ (NCEP-Ⅱ), in order to understand which reanalysis data are more suitable for the high Himalayas with Mt. Everest region. When comparing with those from the other levels, pressure interpolated from 500 hPa level is closer to the observation and can capture more synoptic-scale variability, which may be due to the very complex topography around Mr. Everest and the intricately complicated orographic land-atmosphere-ocean interactions. The interpolation from both NCEP-Ⅰ and NCEP-Ⅱ daily minimum temperature and daily mean pressure can capture most synoptic-scale variability (r>0.82, n=83, p<0.001). However,there is difference between NCEP-Ⅰ and NCEP-Ⅱ reanalysis data because of different model parameterization. Comparing with the observation, the magnitude of variability was underestimated by 34.1%, 28.5 % and 27.1% for NCEP-Ⅰ temperature and pressure, and NCEP-Ⅱ pressure, respectively, while overestimated by 44.5 % for NCEP-Ⅱ temperature. For weather events interpolated from the reanalyzed data, NCEP-Ⅰ and NCEP-Ⅱ show the same features that weather events interpolated from pressure appear at the same day as those from the observation, and some events occur one day ahead, while most weather events interpolated from NCEP-Ⅰ and NCEP-Ⅱ temperature happen one day ahead of those from the observation, which is much important for the study on meteorology and climate changes in the region, and is very valuable from the view of improving the safety of climbers who attempt to climb Mt. Everest.     

Pressure and temperature feasibility of NCEP/NCAR reanalysis data at Mt. Everest

Mt.Everest （27°54＇ N,86°54＇ E）,the highest peak,is often referred to as the earth＇s ＇third＇ pole,at an elevation of 8844.43 m. Due to the difficult logistics in the extreme high elevation regions over the Himalayas,observational meteorological data are very few on Mt. Everest. In 2005,an automatic weather station was operated at the East Rongbuk glacier Col of Mt. Everest over the Himalayas. The observational data have been compared with the reanalysis data from the National Centers for Environmental Prediction/National Center for Atmospheric Research （NCEP/NCAR）,and the reliability of NCEP/NCAR reanalysis data has been investigated in the Himalayan region,after the reanalyzed data were interpolated in the horizontal to the location of Mt. Everest and in the vertical to the height of the observed sites. The reanalysis data can capture much of the synoptic-scale variability in temperature and pressure,although the reanalysis values are systematically lower than the observation. Furthermore,most of the variability magnitude is,to some degree,underestimated. In addition,the variation extracted from the NCEP/NCAR reanalyzed pressure and temperature prominently appears one-day lead to that from the observational data,which is more important from the standpoint of improving the safety of climbers who attempt to climb Mt. Everest peak.     

Feasibility Comparison of Reanalysis Data from NCEP-Ⅰ and NCEP-Ⅱ in the Himalayas

Mt. Everest is often referred to as the earth＇s ＇third＇ pole. As such it is relatively inaccessible and little is known about its meteorology. In 2005, an automatic weather station was operated at North Col （28°1′ 0.95＂ N, 86°57′ 48.4＂ E, 6523 m a.s.l.） of Mt. Everest. Based on the observational data, this paper compares the reanalysis data from NCEP/NCAR （hereafter NCEP-Ⅰ） and NCEP-DOE AMIP-Ⅱ （NCEP- Ⅱ）, in order to understand which reanalysis data are more suitable for the high Himalayas with Mr. Everest region. When comparing with those from the other levels, pressure interpolated from 500 hPa level is closer to the observation and can capture more synoptic-scale variability, which may be due to the very complex topography around Mt. Everest and the intricately complicated orographic land-atmosphereocean interactions. The interpolation from both NCEP-Ⅰ and NCEP-Ⅱ daily minimum temperature and daily mean pressure can capture most synopticscale variability （r〉0.82, n=83, p〈0.001）. However, there is difference between NCEP-Ⅰ and NCEP-Ⅱ reanalysis data because of different model parameterization. Comparing with the observation, the magnitude of variability was underestimated by 34.1%, 28.5 % and 27.1% for NCEP-Ⅰ temperature and pressure, and NCEP-Ⅱ pressure, respectively, while overestimated by 44.5 % for NCEP-Ⅱ temperature. For weather events interpolated from the reanalyzed data, NCEP-Ⅰ and NCEP-Ⅱ show the same features that weather events interpolated from pressure appear at the same day as those from the observation, and some events occur one day ahead, while most weather events and NCEP-Ⅱ temperature interpolated from NCEP-Ⅰ happen one day ahead of those from the observation, which is much important for the study on meteorology and climate changes in the region, and is very valuable from the view of improving the safety of climbers who attempt to climb Mt. Everest.