The cryptocurrency bull market is coming soon?

John McAfee认为加密货币牛市即将到来,随着机构投资者涌入市场,顶级加密货币价格将显著上涨。本文探讨了Adbank、Aurumcoin及HappyCoin等加密货币的表现,并分析了市场趋势。

John McAfee believes that the cryptocurrency bull market is coming. The well-known technology activist and Internet security experts believe that more and more institutional investors are entering the market.

In a tweet posted on Monday, McAfee urged traders to prepare for the next round of encrypted price increases. His conclusion is based on the cash inflow from the influx of institutional investors. He also stated that as funds flow into the cryptocurrency market, the top ten coins will rise sharply. McAfee believes that as investors diversify their cryptocurrency trading portfolio, other competing currencies will also growth. It is expected that the top ten currency prices will skyrocketing, and most of the rising currency will soon follow.

Is there any cryptocurrency prices increase? Take a look at the ranked 5th EOS, EOS is the history of the largest MLM and air coins, yesterday broke 360 found EOS network there is a high security loophole, Chen Weixing also believes that EOS is a blockchain of poisonous tumors… This series of bad news made EOS prices not only fail to rebound, but drastically dipped. All this bad news happens before the EOS main line. Is this a plan with ulterior motives or a seamless coincidence?

EOS price now trading up 10.14% of $12.28, has a market cap of $10,919,688,985 USD, EOS its 24 hours trading volume is $1,705,840,000 USD.

Is there a bull market like McAfee has said? Let’s take a look at the performance of these behind top 10 coins on today May 30 performance:

1, Adbank

Adbank’s application of blockchain technology focuses on patenting anti-fraud technology. Adbank will create a transparent ecosystem that will facilitate the tracking of payment program details from advertisers to publishers. Adbank (ADB: ADB) went online on February 3, 2018. The open trading pair included ADB/BTC and ADB/ETH.

Kelsey Cole, co-founder of blockchain digital advertising company Adbank, recently stated in an event that the following three simple steps should be taken to participate in the cryptocurrency industry:

First, set up a wallet and write down the private key, as a location for encryption usually requires familiarity with some form of cryptocurrency wallet.

Second, participate in community activities, increase knowledge and reputation, which is very valuable for career development.

Three, conduct research on technology and markets because due and diligence is the key to success, both from a career and investment perspective.

Adbank price trading up 16.21% of 0.014, has a market cap of $7,092,095 USD, its 24 hours trading volume is $44,659 USD.

2, Aurumcoin

Aurumcoin was born to unite the world by a coin. It combines Bitcoin’s innovative technology, the dollar’s global trading power, and the eternal value of au (au, “aurum,” in Latin, as we know it today. The economic basis, and au is a measure of the value of money in history.) That is to say, AurumCoin (currency: AU) was created to unite the world and combine a coin that combines innovative technologies such as Bitcoin, global dollar convertibility, and a constant gold value.

AurumCoin (currency: AU ) constitutes a legal and unrelated alternative to existing currencies and intends to provide stable power in today’s currency system. The principles of this solution are reliable, tradable and legal. As an international currency, you can easily and securely pay and collect your money from any device, anytime, anywhere. Aurumcoin provides legal and non-affiliated alternatives to existing currencies and intends to provide stability in today’s currency system. The principle of this solution is reliable, tradable and legal. As an international currency, you can easily and securely pay and receive funds anywhere, anyplace, and on any device.

AurumCoin price on today is about $12.64, trading up 32.15%. AU has a market cap of $3,766,287 USD, its 24 hours trading volume is $1,291 USD.

3, HappyCoin

HappyCoin is a digital currency designed specifically for the use of peer-to-peer technology that does not require central authorization; management transactions and issuing currency are performed jointly by the network. HappyCoin is a digital currency designed to use peer-to-peer technology without the need for a central authority to operate; managing transactions and issuing funds collection by the network. Happy Coin is a democratic form of cryptocurrency. It represents a whole new way of thinking about investment, economic freedom, security and the privacy of financial transactions. Anyone can invest in complete transparency without trusting any middleman.

HappyCoin price now at $0.046, trading up 17.92%, HappyCoin has a market cap of $666,491 USD, its 24 hours trading volume has $15,165 USD.

In today cryptocurrency prices, crypto market really has a good performance and prices are optimistic.

<think>我们正在讨论如何将GLDAS模型扩展到96阶96次(degree and order 96)。GLDAS(全球陆面数据同化系统)通常提供的是较低空间分辨率的陆面水文数据(如土壤湿度、雪水当量等),其原始数据通常以较低阶的球谐系数形式存储或通过网格数据提供。扩展至96阶96次意味着需要更高分辨率的表达,这通常涉及以下步骤: 1. **理解原始数据分辨率**:GLDAS数据通常以0.25°×0.25°或1°×1°的空间分辨率提供,这对应于球谐展开的阶数(degree)和次数(order)远低于96(例如,0.25°分辨率大约对应到720阶,但实际GLDAS产品可能只提供到较低阶数)。因此,我们需要明确原始数据的阶次。 2. **数据升阶(Upscaling)**:如果原始数据是低阶的(比如60阶),我们需要将其扩展到96阶。这可以通过在球谐域中补零(zero-padding)实现,但要注意补零后需要重新计算网格数据,因为高阶部分没有实际数据,所以只能保留低阶信息,高阶部分为零。 3. **球谐变换**:将原始数据(网格数据或低阶球谐系数)通过球谐变换(Spherical Harmonic Transform)转换为球谐系数,然后扩展到96阶96次,再通过逆变换得到更高分辨率的网格数据。 4. **考虑实际约束**:由于GLDAS模型本身的分辨率限制,直接扩展到96阶可能不会增加真实的信息,但可以与其他高阶数据(如GRACE)进行匹配分析。 具体步骤: **步骤1:获取原始GLDAS数据** GLDAS数据可以从NASA GESDISC下载,通常以NetCDF格式存储。例如,GLDAS Noah月数据产品。 **步骤2:将网格数据转换为球谐系数** 使用球谐变换工具(如SHTOOLS或pyshtools)将网格数据转换为球谐系数。假设原始网格数据为$g(\theta, \lambda)$,其中$\theta$为余纬,$\lambda$为经度。球谐展开为: $$g(\theta, \lambda) = \sum_{n=0}^{N}\sum_{m=-n}^{n} c_{nm} Y_{nm}(\theta, \lambda)$$ 其中$c_{nm}$是球谐系数,$Y_{nm}$是球谐基函数。 原始数据的最大阶数$N$可能小于96。我们将其扩展到$N'=96$,即对于$n>N$,令$c_{nm}=0$。 **步骤3:扩展球谐系数至96阶** 将原始系数数组扩展至96阶96次(即0到96阶,每阶从0到96次),高阶部分补零。 **步骤4:逆球谐变换** 将扩展后的球谐系数(96阶)通过逆球谐变换得到更高分辨率的网格数据。虽然高阶部分为零,但网格分辨率会提高(根据采样定理,96阶对应的空间分辨率约为$\frac{180^\circ}{96} \approx 1.875^\circ$,但实际上我们通常需要更高的网格分辨率来避免混叠,比如0.5°)。 注意:由于原始数据不包含高于$N$阶的信息,所以扩展后的高阶部分为零,因此网格数据的分辨率提高并不会带来更多细节,但可以与其他96阶的数据(如GRACE)进行一致性处理(例如滤波、截断等)。 **代码示例(使用pyshtools):** ```python import pyshtools as sh import numpy as np # 步骤1:读取GLDAS网格数据(示例为全球土壤湿度,假设为grid_data,纬度范围-90到90,经度0到360) # 这里grid_data是一个二维数组,维度为(lat, lon) # 假设原始网格为1度分辨率,共181x360 # 步骤2:将网格数据转换为球谐系数(使用低阶,例如60阶) clm_original = sh.expand.MakeGridDH(grid_data, norm=4) # 返回的是SHCoeffs类对象 # 步骤3:创建一个新的96阶的系数对象,并将原始系数复制进去,高阶部分为零 clm_extended = sh.SHCoeffs.from_zeros(lmax=96) # 创建一个96阶的零系数对象 # 将原始系数复制到新系数对象中(只复制0到60阶) for n in range(0, 61): for m in range(0, n+1): # 获取原始系数中的值(包括C和S部分) cnm = clm_original.coeffs[0, n, m] # 余弦项 snm = clm_original.coeffs[1, n, m] # 正弦项(m>0时) clm_extended.set_coeffs(cnm, n, m) # 设置余弦项系数 if m > 0: clm_extended.set_coeffs(snm, n, m, kind='sin') # 设置正弦项系数 # 步骤4:将扩展后的系数逆变换为网格(可以设置更高的网格分辨率,如0.5度) grid_extended = clm_extended.expand('DH2', grid='DH2', lmax=96) # 使用Driscoll-Healy网格,格点数由阶数决定 # 步骤5:保存或使用扩展后的网格数据 ``` **注意事项**: - 上述代码中,我们假设原始网格数据已经是等经纬度网格(GridDH),并且使用4阶归一化(通常用于地球物理数据)。 - 扩展后的网格数据虽然分辨率提高了,但高于原始阶数的信息为零。因此,这种扩展主要用于与其他高阶数据在相同阶次下进行运算(比如与GRACE数据联合分析时,需要将GRACE截断到与GLDAS相同的阶数,但这里我们反过来将GLDAS提升到GRACE的阶数)。 **应用场景**: 在联合GRACE(通常提供到96阶)和GLDAS数据时,为了在球谐域进行对比或组合,需要将GLDAS数据扩展到相同的阶次。例如,在分离陆地水储量变化时,可以用GLDAS模型(扩展到96阶)扣除土壤水等分量,从而得到地下水变化[^1]。 §§相关问题§§ 1. 如何将GRACE数据从96阶降阶到60阶? 2. 球谐变换中不同归一化方法(如4阶归一化)有何影响? 3. GLDAS数据在扩展至高阶后,如何验证其精度? [^1]: Rodell, M., et al. (2004), The Global Land Data Assimilation System, Bull. Amer. Meteor. Soc., 85, 381–394.</think>### 如何将GLDAS扩展到96阶96次 GLDAS(全球陆面数据同化系统)原始数据通常以较低分辨率(如0.25°网格)存储。扩展到96阶96次($l_{max}=96$)需要球谐分析技术,以下是完整流程: --- #### 1. **数学基础:球谐展开** 球谐函数可表示全球尺度场: $$f(\theta,\lambda) = \sum_{l=0}^{l_{max}}\sum_{m=-l}^{l} a_{lm} Y_{lm}(\theta,\lambda)$$ 其中: - $Y_{lm}$ 为球谐基函数 - $a_{lm}$ 为球谐系数 - $l_{max}=96$ 对应空间分辨率 $\approx 200km$ ($\frac{20000km}{96}$) --- #### 2. **扩展步骤** ```mermaid graph TB A[原始GLDAS网格数据] --> B[球谐分析] B --> C[系数补零至l=96] C --> D[球谐合成] D --> E[96阶网格数据] ``` **具体操作:** 1. **球谐分析**(网格→系数) ```python import pyshtools as sh # 加载GLDAS网格数据(示例:土壤湿度) grid = sh.SHGrid.from_netcdf('GLDAS_NOAH_monthly.nc', variable='SoilMoi0_10cm_inst') # 执行球谐变换(原始阶数通常lmax=60) clm_original = grid.expand() ``` 2. **系数扩展** ```python # 创建96阶空系数矩阵 clm_extended = sh.SHCoeffs.from_zeros(lmax=96) # 移植原始系数(l<=60) for l in range(clm_original.lmax+1): for m in range(-l, l+1): clm_extended.set_coeffs( values=clm_original.coeffs[0,l,abs(m)], # 余弦项 ls=l, ms=m ) if m < 0: # 正弦项 clm_extended.set_coeffs( values=clm_original.coeffs[1,l,abs(m)], ls=l, ms=m, kind='sin' ) ``` 3. **球谐合成**(系数→网格) ```python # 生成96阶分辨率网格 grid_96 = clm_extended.expand() grid_96.to_netcdf('GLDAS_l96.nc') ``` --- #### 3. **关键技术点 - **谱泄漏处理**:使用高斯滤波抑制吉布斯振荡 $$W(l) = \exp\left(-\frac{l(l+1)}{2R^2}\right)$$ 其中 $R$ 为滤波半径(推荐300km)[^1] - **质量守恒**:验证扩展前后全球积分 $$\Delta M = \frac{\rho_{earth}}{3}\sum_{l=0}^{2} a_{l0}Y_{l0}(0,0)$$ 应保持恒定 - **计算优化**:采用快速球谐变换(FST)算法降低复杂度 $O(N^2\log N)$ --- #### 4. **验证方法 1. **功率谱分析**:检查$l>60$区间的能量衰减 ```python power_original = clm_original.spectrum() power_extended = clm_extended.spectrum() plt.plot(power_original[0:60], label='Original') plt.plot(power_extended[0:96], label='Extended') ``` 2. **交叉验证**:与GRACE/GRACE-FO的96阶数据对比陆地水储量变化 --- #### 5. **应用场景 - **水文联合反演**:与GRACE 96阶数据耦合解算地下水变化 $$\Delta GW = \Delta TWS_{GRACE} - (\Delta SM_{GLDAS} + \Delta SWE)$$ - **气候模型降尺度**:为CMIP6模型提供高分辨率陆面边界条件
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