Fluctuations in the onset,termination and length of the growing season in northern Nigeria

Summary A simple water balance method is used to compute the dates of the onset and termination and length of the growing season from long-term rainfall series in northern Nigeria. For most of the stations, the time series of onset and termination dates and growing season length are homogeneous and random, and can be taken as normally distributed. There is a progressive decrease in the length of the growing season from a mean of about 200 days in the south to less than 155 days in the extreme northern part. While there is no statistically significant trend in the onset dates, there is some evidence for statistically significant decreasing trend in the termination dates and the length of the growing season over the region. The results indicate that recent trends in the length of the growing season are more sensitive.to large interannual fluctuations in the start of the rains than to variations in the cessation dates.With 7 Figures     

Variability of growing season indices in northeast of Iran

Accurate use of precipitation can be considered as one of the best options to decrease the amount of underground water extraction for agriculture in arid and semi-arid areas such as northeast of Iran. For this reason, characteristics of the growing season such as onset, cessation, and length of the growing period should be analyzed. In this paper, we have calculated growing season characteristics of five locations in northeast of Iran using 45?years historical daily weather data and employed four approaches with different calculation methods. As temperature is one of the limiting factors in irrigation-based agriculture, the first approach has been based on this factor. The three remaining approaches were based on joint rainfall and temperature approach, rainfall, evapotranspiration, and temperature approach, and the final approach was based on availability of adequate water in 0.25?m of soil profile. The calculated onset dates using second and third approaches have been based on soil water balance model and relative evapotranspiration rate, and both were evaluated also to find whether the onset is a false start occurrence or not. The results showed that, when temperature was the only limiting factor, Bojnourd station with 197?days showed the longest growing season, however, when precipitation was used along with temperature, longest growing season (124?days) was obtained for Sabzevar station. The third approach which benefits from a water balance model and is similar to rainfed conditions showed the longest growing season with 147?days for Mashhad station. When adequate soil water approach was used, Bojnourd station with 255?days showed the longest growing season. Evaluation of false start of the growing season indicated the lowest probability of false start occurrence for Mashhad compared with other locations.     

Rain-based factors of high agricultural impacts over Senegal. Part I: integration of local to sub-regional trends and variability

The evolution of seasonal cycle and interannual rainfall, the number of rainy days and daily rainfall types, dry spells frequency of occurrence, onset/cessation/length of rainy season, sowing dates, and the duration of the cropping period, are investigated at local (individual sites) and sub-regional scales (four different rainfall zones) using daily records of station data (83 sites) over Senegal. In the limits of a case study, these analyses complement and update previous studies conducted in the extreme Western Sahel (11?C16° N and 20° W?C10° E). The results unveil noticeable evolution of some of these rain-based factors in the recent periods as compared to the previous dry years. In the regions recording less than 800?mm/year (Sudan and Sahel sub-regions), the positive and statistically significant trends of rainfall amount are associated with new features of increasing frequency of short dry spell category, increasing number of some classes of extreme daily rainfall amounts and shifts in the peak number of rainy days. At sub-regional scales, the starting years (or change points) the magnitude and the signs of the new trends are unevenly distributed in the period post-1990. Earlier and higher amplitude changes are found at local scales and not less than one third of the sites in each sub-regional network are significantly affected. The extreme Southern sub-region exhibits no significant changes. Statistically significant trends are not observed on daily rain records ??10?mm, onset/cessation dates, successful sowing dates, rainy season length, cropping period, medium and extreme dry spell categories. Rather, some of these factors such as the successful sowing date and the cropping season length exhibit significant variability. The onset (cessation) dates of the rainy season are followed (preceded) by extreme dry spell episodes. In the perspectives of climate impact assessments on the local agriculture a sub-regional periodic synopsis of the major rain-based factors of interest to agricultural applications are provided at the end the paper. They document some important internal variability patterns to reckon with in a multi-decadal work over the 1950?C2008 period for this region.     

Modeling soil thermal and hydrological dynamics and changes of growing season in Alaskan terrestrial ecosystems

Abundant evidence indicates the growing season has been changed in the Alaskan terrestrial ecosystems in the last century as climate warms. Reasonable simulations of growing season length, onset, and ending are critical to a better understanding of carbon dynamics in these ecosystems. Recent ecosystem modeling studies have been slow to consider the interactive effects of soil thermal and hydrological dynamics on growing season changes in northern high latitudes. Here, we develop a coupled framework to model these dynamics and their effects on plant growing season at a daily time step. In this framework, we (1) incorporate a daily time step snow model into our existing hydrological and soil thermal models and (2) explicitly model the moisture effects on soil thermal conductivity and heat capacity and the effects of active layer depth and soil temperature on hydrological dynamics. The new framework is able to well simulate snow depth and soil temperature profiles for both boreal forest and tundra ecosystems at the site level. The framework is then applied to Alaskan boreal forest and tundra ecosystems for the period 1923–2099. Regional simulations show that (1) for the historical period, the growing season length, onset, and ending, estimated based on the mean soil temperature of the top 20 cm soils, and the annual cycle of snow dynamics, agree well with estimates based on satellite data and other approaches and (2) for the projected period, the plant growing season length shows an increasing trend in both tundra and boreal forest ecosystems. In response to the projected warming, by year 2099, (1) the snow-free days will be increased by 41.0 and 27.5 days, respectively, in boreal forest and tundra ecosystems and (2) the growing season lengths will be more than 28 and 13 days longer in boreal forest and tundra ecosystems, respectively, compared to 2010. Comparing two sets of simulations with and without considering feedbacks between soil thermal and hydrological dynamics, our analyses suggest coupling hydrological and soil thermal dynamics in Alaskan terrestrial ecosystems is important to model ecosystem dynamics, including growing season changes.     

Climate change and implications for agriculture in Niger

Five-year moving averages of annual rainfall for 21 locations in Niger showed a decline in the annual rainfall after 1960. Correlation coefficients of the moving averages of monthly rainfall with annual rainfall showed significant correlations between the decline in the annual rainfall with decreased rainfall in August. Analysis of daily rainfall data for rainy season parameters of interest to agriculture suggested that from 1965 there was a significant decrease in the amount of rainfall and in the number of rainy days in the months of July and August, resulting in a decreased volume of rainfall for each rainstorm. In comparison to the period 1945–64, major shifts have occurred in the average dates of onset and ending of rains during 1965–88. The length of the growing season was reduced by 5–20 days across different locations in Niger. The standard deviation for the onset and ending of the rains as well as the length of the growing season has increased, implying that cropping has become more risky. Water balance calculations also demonstrated that the probability of rainfall exceeding potential evapotranspiration decreased during the growing season. The implications of these changes for agriculture in Niger are discussed using field data.     

Specification of thermal growing season in temperate China from 1960 to 2009

A number of studies have reported an extension of the thermal growing season in response to the warming climate during recent decades. However, the magnitude of extension depends heavily on the threshold temperature used: for a given area, a small change in the threshold temperature results in significant differences in the calculated thermal growing season. Here, we specified the threshold temperature for determining the thermal growing season of local vegetation across 326 meteorological stations in temperate China by using vegetation phenology based on satellite imagery. We examined changes in the start, end, and length of the thermal growing season from 1960 to 2009. The threshold temperatures for determining the start and end increased strongly with increasing mean annual temperature. Averaged across temperate China, the start of the thermal growing season advanced by 8.4?days and the end was delayed by 5.7?days, resulting in a 14.1-day extension from 1960 to 2009. The thermal growing season was intensively prolonged (by 0.59?day/year) since the mid-1980s owing to accelerated warming during this period. This extension was similar to that determined by a spatially fixed threshold temperature of 5?°C, but the spatial patterns differed, owing to differences in the threshold temperature and to intra-annual heterogeneity in climate warming. This study highlights the importance of specifying the temperature threshold for local vegetation when assessing the influences of climate change on thermal growing season, and provides a method for determining the threshold temperature from satellite-derived vegetation phenology.     

Spatiotemporal change in China’s climatic growing season: 1955–2000

The timing, length, and thermal intensity of the climatic growing season in China show statistically significant changes over the period of 1955 to 2000. Nationally, the average start of the growing season has shifted 4.6–5.5 days earlier while the average end has moved 1.8–3.7 days later, increasing the length of the growing season by 6.9–8.7 days depending on the base temperature chosen. The thermal intensity of the growing season has increased by 74.9–196.8 growing degree-days, depending on the base temperature selected. The spatial characteristics of the change in the timing and length of the growing season differ from the geographical pattern of change in temperatures over this period; but the spatial characteristics of change in growing degree-days does resemble the pattern for temperatures, with higher rates in northern regions. Nationally, two distinct regimes are evident over time: an initial period where growing season indicators fluctuate near a base period average, and a second period of rapidly increasing growing season length and thermal intensity. Growing degree-days are highly correlated with March-to-November mean air temperatures in all climatic regions of China; the length of the growing season is likewise highly correlated with March-to-November mean air temperatures except in east, southeast and southwest China at base temperature of 0°C and southeast China at base temperature of 5°C. The growing season start date appears to have the greater influence on the length of the growing season. In China, warmer growing seasons are also likely to be longer growing seasons.     

Evaluating the vegetation growing season changes in the arid region of northwestern China

Temperature has long been accepted as the major controlling factor in determining vegetation phenology in the middle and higher latitudes. The influence of water availability is often overlooked even in arid and semi-arid environments. We compared vegetation phenology metrics derived from both in situ temperature and satellite-based normalized difference vegetation index (NDVI) observations from 1982 to 2006 by an example of the arid region of northwestern China. From the satellite-based results, it was found the start of the growing season (SOS) advanced by 0.37 days year^?1 and the end of the growing season (EOS) delayed by 0.61 days year^?1 in Southern Xinjiang over 25 years. In the Tianshan Mountains, the SOS advanced by 0.35 days year^?1 and the EOS delayed by 0.31 days year^?1. There were almost no changes in Northern Xinjiang. Compared with satellite-based results, those estimates based on temperature contain less details of spatial variability of vegetation phenology. Interestingly, they show different and at times reversed spatial patterns from the satellite results arising from water limitation. Phenology metrics derived from temperature and NDVI conclude that water limitation of onset of the growing season is more severe than the cessation. Phenology spatial patterns of four oases in Southern Xingjiang show that, on average, there is a delay of the SOS of 1.6 days/10 km of distance from the mountain outlet stations. Our results underline the importance of water availability in determining the vegetation phenology in arid regions and can lead to important consequences in interpreting the possible change of vegetation phenology with climate.     

Changes in agro-meteorological indicators in the contiguous United States: 1951–2000

Summary Mosaic changes in regional and local surface air temperatures and precipitation have occurred along with the increase of the average global surface air temperature in the 20th century, particularly in the recent two decades since 1980. From those changes have emerged these questions: how have the changes altered the local and regional agro-meteorological environment and affected the crop productions? These questions especially their spatially varying aspects have not been well examined. The aim of this study is to examining the effects of regional climate change on agro-meteorological environment, in terms of indicators, such as the thermal time (or Growing Degree Days) and growing season length, and to evaluate the influence of environmental change on crop yield. Major results of this study show a significant trend of increase in the thermal time across the western United States and a trend of decrease in thermal time from the U.S. Great Plains to the east coasts at a rate of 20 Growing Degree Days per 10 years. Results also show a significant trend of decreasing annual number of frost days at a rate of 3 days per decade and a trend of lengthening growing season by 4 days per decade in the western United States. Concurrently, the rainfall patterns in the warm season indicate more persistent weeklong wet spells and fewer dry spells in recent decades. These spatial variations of changes in the agrometeorological environment across the contiguous United States indicate substantial regional effects on crop production from the changing climate in the last 5 decades. Detailed geographical variations of the agrometeorological indicators revealed in this study can be beneficial for updating management decisions and practice routines in local and regional agricultural productions.     

Characterization and variability of Kiremt rainy season over Ethiopia

Summary Ethiopia has been ravaged by severe drought for many of the last 35 years, primarily due to the failure of its main (Kiremt) rainy season in boreal summer. Kiremt quality results from the timing of its onset and cessation and the frequency and duration of intervening dry-spells. To address these key aspects of Kiremt variability, we analyzed specially constructed sets of research quality, daily rainfall and rawinsonde data for the longest available periods (25–57 years).The analyses produced wide-ranging results of considerable value to Ethiopia. The long-term average spatial progression of the southwest-to-northeast Kiremt onset and its reverse cessation are documented, along with measures of their interannual variability. Treated on a similar geographical basis is the local vulnerability to Kiremt interruption by dry-spells. Rawinsonde data for central Ethiopia are analyzed to place these long-term mean surface Kiremt characteristics in the context of the annual cycles of tropospheric wind, temperature, and pressure.Investigation of the rich interannual Kiremt variation focuses on onset, cessation, and growing length (which excludes dry-spells) anomalies. The analyses begin with the compositing of indicative tropospheric profiles for sets of extremely dry and wet Kiremt seasons. This is followed by examination of 1961–99 time series of the above Kiremt parameters, which prompts case study investigations of the highly contrasting 1984 (very dry) and 1996 (much wetter) Kiremts in terms of both Ethiopian rainfall and the tropospheric circulation of the surrounding region. Finally, correlation analyses are used to investigate relations between the above key Kiremt parameters for the most drought-prone (northeastern) part of the Kiremt region and global tropical-subtropical sea surface temperature patterns, including the ENSO phenomenon.     

近50年我国日平均气温的气候变化

应用近50年我国234个测站的日平均温度资料，研究了最高(低)日平均温度、各种界限温度日数、生长季节长度及有效积温的变化趋势。结果表明:近50年，夏季最高日平均温度以上升为主，新疆南部和黄淮的部分地区为下降趋势；最低日平均温度北方大部地区有较明显的升温趋势，新疆南部及长江流域则有下降趋势；在冬季，无论是最高日平均温度还是最低日平均温度的变化趋势均以上升为主，北方尤为明显；日平均温度高于30℃的炎热日数近50年来基本上没有什么变化，但日平均温度为20~30℃的温暖日数却有增加。低于5℃的冷日日数基本上也是减少的。日平均温度低于-10℃的严寒日数，在40o~45 o N的新疆、内蒙古西部、东北中南部地区减少得更为明显。除西南东部等少数地方外，我国大部分地区近50年来生长季节延长，有效积温增加。     

Multidecadal variability in local growing season during 1901–2009

Global warming exerts a lengthening effect on the growing season, with observational evidences emerging from different regions over the world. However, the difficulty for a global overview of this effect for the last century arises from limited availability of the long-term daily observations. In this study, we find a good linear relationship between the start (end) date of local growing season (LGS) and the monthly mean temperature in April (October) using the global gridded daily temperature dataset for 1960–1999. Using homogenized daily temperature records from nine stations where the time series go back to the beginning of the twentieth century, we find that the rate of change in the start (end) date of the LGS for per degree warming in April (October) mean temperature keeps nearly constant throughout the time. This enables us to study LGS changes during the last century using global gridded monthly mean temperature data. The results show that during the period 1901–2009, averaged over the observation areas, the LGS length has increased by a rate of 0.89 days decade^?1, mainly due to an earlier start (?0.58 days decade^?1). This is smaller than those estimates for the late half of the twentieth century, because of multidecadal climate variability (MDV). A MDV component of the LGS index series is extracted by using Ensemble Empirical Mode Decomposition method. The MDV exhibits significant positive correlation with the Atlantic Multi–decadal Oscillation (AMO) over most of the Northern Hemisphere lands, but negative in parts of North America and Western Asia for start date of LGS. These are explained by analyzing differences in atmospheric circulation expressed by sea level pressure departures between the warm and cool phases of AMO. It is suggested that MDV in association with AMO accelerates the lengthening of LGS in Northern Hemisphere by 53 % for the period 1980–2009.     

Growing season expansion and related changes in monthly temperature and growing degree days in the Inter-Montane Desert of the San Luis Valley, Colorado

Most climate change studies on high elevation ecosystems identify changes in biota, while several report abiotic factors. However, very few report expansion of the freeze-free period, or discuss monthly changes of temperature and growing degree days (GDD) during the growing season. This study provides initial data on agriculturally-related aspects of climate change during the growing season (M-J-J-A-S) in the inter-montane desert of the San Luis Valley (SLV), Colorado. Temperature data were gathered from 7 climate stations within the SLV. Based on ordinal days, the last vernal freeze is occurring (p?<?0.05) earlier at 3 stations than in prior years, ranging between 5.52 and 11.86?days during 1981–2007. Significantly-later autumnal freezes are occurring at 5 stations by 5.95–18.10?days, while expansion of the freeze-free period was significantly longer at all stations by 7.20–24.21?days. The freeze-free period averaged about 93?days prior to the 1980s, but now averages about 107?days. Increases (p?<?0.05) in daily mean, maximum, minimum temperature occurred at nearly all stations for each month. Increases in GDD₁₀, GDD_4.4 (potato) and GDD_5.5 (alfalfa) also occurred at nearly all stations for all months during 1994–2007. Higher temperatures increase the number of GDD, quickening crop growth and maturity, and potentially reducing yield and quality unless varieties are adapted to changes and water is available for the season extension and increased evapotranspiration.     

Seasonal and intra-seasonal rainfall and drought characteristics as indicators of climate change and variability in Southern Africa: a focus on Kabwe and Livingstone in Zambia

This paper addresses two fundamental questions on climate change and variability: to what extent has climate changed and/or varied over years in two districts of different agro-ecological regions or zones and how do any changes differ between the zones or districts? Given the rural-rural migration pattern observed between the districts, understanding climate change risk to rural livelihoods cannot be overemphasised. To assess change and variability, we utilise rainfall data-records over a 36-year period from 1980 to 2016. Results show that there are wide variations and differences within and between the districts. Evidence suggests a general reduction in both annual rainfall and wet days. There is also ground to suggest that the rainy season duration is becoming shorter, given that rainfall onset is increasingly starting late, while cessation is increasingly coming early. Dry spells frequency and duration trends within rainy season show an increase over the period examined. We conclude that local climate in both areas has changed over the period investigated. However, while Livingstone seems to have experienced more droughts and unreliable rainfall, Kabwe experienced a bigger change in both rainfall and rainy season duration. We further conclude that migrants into Kabwe and other inhabitants are not any safer from climate change risk.     

The onset and cessation of the “long rains” in eastern Africa and their interannual variability

Summary ?Thirty years (1958–1987) of daily rainfall data for Kenya and north eastern Tanzania are analysed with the aim to characterize the interannual variability of the onset and cessation of the East African “long rains” (boreal spring). The leading principal component (PC1) depicts consistent rainfall variations over much of the region. Cumulative PC1 scores for each year serve to identify onset and cessation dates. The robustness of the dates derived from this method is demonstrated through the use of an independent sample of stations. Their spatial representativity is assessed by daily rainfall composites. Average onset occurs on March 25^th, and cessation on May 21^st. The interannual variability of the onset (standard deviation of 14.5 days) is larger than that of the withdrawal (10.3 days), but the onset is also spatially much more consistent. Mean dates and dates in selected anomalous years agree well with previous studies. The relationship between onset time-series and large-scale atmospheric and oceanic fields is analysed. On a monthly time-scale, interannual variations in “long rains” onset are associated with sea-surface temperature (SST) and sea-level pressure (SLP) patterns that have a different sign for the Atlantic and Indian Oceans. A warm South Atlantic and a cool Indian Ocean are associated with low and high SLP anomalies, respectively. These patterns are conducive to enhanced equatorial easterlies and surface divergence over East Africa. This maintains the meridional branch (north–south orientated) of the Intertropical Convergence Zone (ITCZ) further west, and the net result is a delayed onset of the “long rains”. Some of the South Atlantic features are already present during January–February, suggesting some potential for monitoring interannual variations in the wet season onset, based on SST and SLP patterns. Additional signals are found over Europe and the Mediterranean Sea in terms of the interaction between the Northern Hemisphere extratropics and equatorial eastern Africa. A surge in the mid-tropospheric northerlies at this time induces instability that may lead to an early onset event. Received July 3, 2002; revised November 28, 2002; accepted December 7, 2002 Published online March 17, 2003     

Spring initiation and autumn cessation of boreal coniferous forest CO2 exchange assessed by meteorological and biological variables

We studied the commencement and finishing of the growing season using different air temperature indices, the surface albedo, the chlorophyll fluorescence (Fv/Fm) and the carbon dioxide (CO₂) tropospheric concentration, together with eddy covariance measurements of CO₂ flux. We used CO₂ flux data from four boreal coniferous forest sites covering a wide latitudinal range, and CO₂ concentration measurements from Sammaltunturi in Pallas. The CO₂ gas exchange was taken as the primary determinant for the growing season to which other methods were compared.
Indices based on the cumulative temperature sum and the variation in daily mean temperature were successfully used for approximating the start and cessation of the growing season. The beginning of snow melt was a successful predictor of the onset of the growing season. The chlorophyll fluorescence parameter Fv/Fm and the CO₂ concentration were good indicators of both the commencement and cessation of the growing season. By a derivative estimation method for the CO₂ concentration, we were also able to capture the larger-scale spring recovery. The trends of the CO₂ concentration and temperature indices at Pallas/Sammaltunturi were studied over an 11-yr time period, and a significant tendency towards an earlier spring was observed. This tendency was not observed at the other sites.     

1971~2013年我国四季开始日期及生长期长度的变化特征分析

利用中国气象局国家气象信息中心提供的中国584个气象站点1971～2013年的逐日气温数据,采用线性倾向估计和经验模态分解（EMD）等方法,以地理信息系统为数据处理平台,分析我国43年来四季起始日以及生长期的变化特征。结果表明：新疆、云南和四川地区的四季起始日变化呈现明显的南北差异;全国大部分地区春、夏季起始日提前,春季比夏季提前趋势更明显,江苏、安徽、湖北大部和云南北部春季提前显著,提前率为4.1～7.2 d/10 a;夏季提前的区域更广,新疆东部、甘肃西部、华南大部和云南南部夏季提前显著,提前率为2.9～4.6 d/10 a;全国大部分地区秋、冬季起始日推迟,秋季比冬季推迟的范围更大,新疆南部和四川西部秋季推迟明显,推迟率为4.4～8.6 d/10 a;冬季推迟趋势更显著,新疆东南部和青海大部冬季推迟明显,推迟率为4.7～13.8 d/10 a;全国各地区生长期均有延长,最显著的是云川交界处和新疆东南部地区,延长率为20.1 d/10 a。EMD和线性倾向估计的结果基本一致,但EMD得到的春季起始日推迟地区的范围更大,夏、秋、冬季起始日以及生长期的变化趋势更显著。     

An analysis of onset date and rainy season duration over Zambia

Summary This study investigates the onset and cessation dates of the main summer rainy season over Zambia, their interannual variability, and potential relationships with ENSO and regional circulation anomalies. Focus is placed on onset and cessation dates because these rainy season characteristics are often of more relevance than seasonal rainfall totals to user groups such as farmers, water resource managers, health and tourism officials. It is found that there is substantial interannual variability in these parameters with some indications of a relationship between anomalies in onset date and those in Ni?o3.4 SST, particularly over the northern part of the country. A strong gradient exists between the south and the north in terms of rainfall amount, mean onset date and mean cessation date and all areas of the country experience significant variability. Analysis of circulation anomalies for early (late) onset seasons over northern Zambia shows that they are characterised by anomalous ridging (troughing) over and south of South Africa, a weaker (stronger) Angola heat low and enhanced (reduced) low level moisture flux into eastern Zambia from the Indian Ocean. The connection with ENSO during the onset season of austral spring appears to arise both through changes in the amount of subsidence over southern Africa as well as via the so-called Pacific South America pattern that extends across the South Pacific and South Atlantic towards southern Africa. Authors’ address: S. Hachigonta, C. J. C. Reason, M. Tadross, Department of Oceanography, University of Cape Town, Private Bag, Rondebosch 7701, South Africa.     

Impacts of irrigation on dry season precipitation in India

There is a lack of observed data-based studies examining the role of enhanced soil moisture conditions (due to irrigation) on the prevailing precipitation. Therefore, in the present study, we have examined the impacts of the Green Revolution (GR) related expansion of irrigation and changes in dry season (the rabi (November to May) and the zaid (March to June)) precipitation in India. The results for some regions indicated decreasing and increasing trend in precipitation during the pre- and post-GR periods, respectively. For example, in eastern Madhya Pradesh, the pre- and post-GR precipitation trends for the zaid season were ?0.45 and 2.40?mm?year^?1, respectively. On the other hand, some regions reported lower rate of decline in precipitation during the post-GR period. This paper suggests that both positive and lower declining trend during the post-GR period were linked to increased precipitation due to the introduction of irrigation. The study has found up to 69?mm (121%) increase in total amount of precipitation for growing seasons during the post-GR period. Moreover, a 175% increase in average precipitation was also recorded. All irrigated regions show a notable increase in precipitation during post-GR growing seasons. It was found that differences in growing season average precipitation between the pre- and post-GR periods were statistically significant for most of the regions. For further verification of results, the MM5 and Noah land surface model were applied. These applications show changes in precipitation and various precipitation controlling factors due to changes in soil moisture.     

新疆北部雨季降水对ENSO的响应

分析研究了新疆北部地区近50年（1951－2000年）全年各月降水的气候分布特征和各季降水的年际变化规律，重点揭示了北疆多雨季节（4－7月）及各月降水量对赤道东太平洋的海温SST和南方涛动指数SOI的显著响应关系，并用前期SST和SOI作为预报因子，建立了北疆地区雨季降水量的预报方程，该方程对北疆地区雨季降水量的长期预报有重要的应用价值。